Mock Version: 5.5 Mock Version: 5.5 Mock Version: 5.5 ENTER ['do_with_status'](['bash', '--login', '-c', '/usr/bin/rpmbuild -bs --noclean --target x86_64 --nodeps /builddir/build/SPECS/pytorch.spec'], chrootPath='/var/lib/mock/dist-an23-build-447102-73363/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'C.UTF-8'}shell=Falselogger=timeout=86400uid=990gid=135user='mockbuild'nspawn_args=['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.lce3ma9v:/etc/resolv.conf', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11']unshare_net=TrueprintOutput=False) Using nspawn with args ['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.lce3ma9v:/etc/resolv.conf', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11'] Executing command: ['/usr/bin/systemd-nspawn', '-q', '-M', '364845d1de1145bd9908c1bd93724281', '-D', '/var/lib/mock/dist-an23-build-447102-73363/root', '-a', '-u', 'mockbuild', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.lce3ma9v:/etc/resolv.conf', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11', '--setenv=TERM=vt100', '--setenv=SHELL=/bin/bash', '--setenv=HOME=/builddir', '--setenv=HOSTNAME=mock', '--setenv=PATH=/usr/bin:/bin:/usr/sbin:/sbin', '--setenv=PROMPT_COMMAND=printf "\\033]0;\\007"', '--setenv=PS1= \\s-\\v\\$ ', '--setenv=LANG=C.UTF-8', '--resolv-conf=off', 'bash', '--login', '-c', '/usr/bin/rpmbuild -bs --noclean --target x86_64 --nodeps /builddir/build/SPECS/pytorch.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'C.UTF-8', 'SYSTEMD_NSPAWN_TMPFS_TMP': '0', 'SYSTEMD_SECCOMP': '0'} and shell False Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1750032000 Wrote: /builddir/build/SRPMS/pytorch-2.0.1-5.an23.src.rpm Child return code was: 0 ENTER ['do_with_status'](['bash', '--login', '-c', '/usr/bin/rpmbuild -bb --noclean --target x86_64 --nodeps /builddir/build/SPECS/pytorch.spec'], chrootPath='/var/lib/mock/dist-an23-build-447102-73363/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'C.UTF-8'}shell=Falselogger=timeout=86400uid=990gid=135user='mockbuild'nspawn_args=['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.lce3ma9v:/etc/resolv.conf', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11']unshare_net=TrueprintOutput=False) Using nspawn with args ['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.lce3ma9v:/etc/resolv.conf', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11'] Executing command: ['/usr/bin/systemd-nspawn', '-q', '-M', '3ae43b18fc2a4e49890929227903d685', '-D', '/var/lib/mock/dist-an23-build-447102-73363/root', '-a', '-u', 'mockbuild', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.lce3ma9v:/etc/resolv.conf', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11', '--setenv=TERM=vt100', '--setenv=SHELL=/bin/bash', '--setenv=HOME=/builddir', '--setenv=HOSTNAME=mock', '--setenv=PATH=/usr/bin:/bin:/usr/sbin:/sbin', '--setenv=PROMPT_COMMAND=printf "\\033]0;\\007"', '--setenv=PS1= \\s-\\v\\$ ', '--setenv=LANG=C.UTF-8', '--resolv-conf=off', 'bash', '--login', '-c', '/usr/bin/rpmbuild -bb --noclean --target x86_64 --nodeps /builddir/build/SPECS/pytorch.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'C.UTF-8', 'SYSTEMD_NSPAWN_TMPFS_TMP': '0', 'SYSTEMD_SECCOMP': '0'} and shell False Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1750032000 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.zwzlB1 + umask 022 + cd /builddir/build/BUILD + cd /builddir/build/BUILD + rm -rf pytorch-v2.0.1 + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/pytorch-v2.0.1.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + cd pytorch-v2.0.1 + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + /usr/lib/rpm/rpmuncompress /builddir/build/SOURCES/0001-Workaround-NVCC-parse-failure-in-cast_op.patch + /usr/bin/patch -p1 -s --fuzz=0 --no-backup-if-mismatch -f + /usr/lib/rpm/rpmuncompress /builddir/build/SOURCES/0002-fix-CVE-2024-31583.patch + /usr/bin/patch -p1 -s --fuzz=0 --no-backup-if-mismatch -f + /usr/lib/rpm/rpmuncompress /builddir/build/SOURCES/0003-fix-CVE-2024-31580.patch + /usr/bin/patch -p1 -s --fuzz=0 --no-backup-if-mismatch -f + /usr/lib/rpm/rpmuncompress /builddir/build/SOURCES/0004-fix-CVE-2024-31584.patch + /usr/bin/patch -p1 -s --fuzz=0 --no-backup-if-mismatch -f + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.PEkqNi + umask 022 + cd /builddir/build/BUILD + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection' + export CFLAGS + CXXFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection' + export CXXFLAGS + FFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -I/usr/lib64/gfortran/modules' + export FFLAGS + FCFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -I/usr/lib64/gfortran/modules' + export FCFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,--build-id=sha1 ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd pytorch-v2.0.1 + export BUILD_TEST=False + BUILD_TEST=False + export PYTORCH_BUILD_VERSION=2.0.1 + PYTORCH_BUILD_VERSION=2.0.1 + export PYTORCH_BUILD_NUMBER=1 + PYTORCH_BUILD_NUMBER=1 + export CUDAARCHS=all + CUDAARCHS=all + export CMAKE_CUDA_COMPILER=/usr/local/cuda-12.5/bin/nvcc + CMAKE_CUDA_COMPILER=/usr/local/cuda-12.5/bin/nvcc + export 'TORCH_CUDA_ARCH_LIST=6.0;6.1;7.0;7.5;8.0;8.6' + TORCH_CUDA_ARCH_LIST='6.0;6.1;7.0;7.5;8.0;8.6' + export 'CFLAGS=-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict' + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict' + export 'CXXFLAGS=-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict' + CXXFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict' + python3 setup.py build -- The CXX compiler identification is GNU 12.3.0 -- The C compiler identification is GNU 12.3.0 -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/g++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- /usr/bin/g++ /builddir/build/BUILD/pytorch-v2.0.1/torch/abi-check.cpp -o /builddir/build/BUILD/pytorch-v2.0.1/build/abi-check -- Determined _GLIBCXX_USE_CXX11_ABI=1 -- Not forcing any particular BLAS to be found -- Could not find ccache. Consider installing ccache to speed up compilation. -- Performing Test COMPILER_WORKS -- Performing Test COMPILER_WORKS - Success -- Performing Test CAFFE2_NEED_TO_TURN_OFF_DEPRECATION_WARNING -- Performing Test CAFFE2_NEED_TO_TURN_OFF_DEPRECATION_WARNING - Failed -- Turning off deprecation warning due to glog. -- Performing Test C_HAS_AVX_1 -- Performing Test C_HAS_AVX_1 - Failed -- Performing Test C_HAS_AVX_2 -- Performing Test C_HAS_AVX_2 - Success -- Performing Test C_HAS_AVX2_1 -- Performing Test C_HAS_AVX2_1 - Failed -- Performing Test C_HAS_AVX2_2 -- Performing Test C_HAS_AVX2_2 - Success -- Performing Test C_HAS_AVX512_1 -- Performing Test C_HAS_AVX512_1 - Failed -- Performing Test C_HAS_AVX512_2 -- Performing Test C_HAS_AVX512_2 - Success -- Performing Test CXX_HAS_AVX_1 -- Performing Test CXX_HAS_AVX_1 - Failed -- Performing Test CXX_HAS_AVX_2 -- Performing Test CXX_HAS_AVX_2 - Success -- Performing Test CXX_HAS_AVX2_1 -- Performing Test CXX_HAS_AVX2_1 - Failed -- Performing Test CXX_HAS_AVX2_2 -- Performing Test CXX_HAS_AVX2_2 - Success -- Performing Test CXX_HAS_AVX512_1 -- Performing Test CXX_HAS_AVX512_1 - Failed -- Performing Test CXX_HAS_AVX512_2 -- Performing Test CXX_HAS_AVX512_2 - Success -- Current compiler supports avx2 extension. Will build perfkernels. -- Performing Test CAFFE2_COMPILER_SUPPORTS_AVX512_EXTENSIONS -- Performing Test CAFFE2_COMPILER_SUPPORTS_AVX512_EXTENSIONS - Success -- Current compiler supports avx512f extension. Will build fbgemm. -- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY -- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY - Success -- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY -- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY - Success -- Performing Test COMPILER_SUPPORTS_RDYNAMIC -- Performing Test COMPILER_SUPPORTS_RDYNAMIC - Success -- Found CUDA: /usr/local/cuda (found version "12.5") -- The CUDA compiler identification is NVIDIA 12.5.82 -- Detecting CUDA compiler ABI info -- Detecting CUDA compiler ABI info - done -- Check for working CUDA compiler: /usr/local/cuda-12.5/bin/nvcc - skipped -- Detecting CUDA compile features -- Detecting CUDA compile features - done -- Caffe2: CUDA detected: 12.5 -- Caffe2: CUDA nvcc is: /usr/local/cuda-12.5/bin/nvcc -- Caffe2: CUDA toolkit directory: /usr/local/cuda -- Caffe2: Header version is: 12.5 -- /usr/local/cuda/lib64/libnvrtc.so shorthash is a50b0e02 -- Found CUDNN: /usr/lib64/libcudnn.so CMake Warning at cmake/public/utils.cmake:385 (message): In the future we will require one to explicitly pass TORCH_CUDA_ARCH_LIST to cmake instead of implicitly setting it as an env variable. This will become a FATAL_ERROR in future version of pytorch. Call Stack (most recent call first): cmake/public/cuda.cmake:362 (torch_cuda_get_nvcc_gencode_flag) cmake/Dependencies.cmake:43 (include) CMakeLists.txt:717 (include) -- Added CUDA NVCC flags for: -gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 -- Building using own protobuf under third_party per request. -- Use custom protobuf build. CMake Deprecation Warning at third_party/protobuf/cmake/CMakeLists.txt:2 (cmake_minimum_required): Compatibility with CMake < 3.5 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- -- 3.13.0.0 -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success -- Found Threads: TRUE -- Performing Test protobuf_HAVE_BUILTIN_ATOMICS -- Performing Test protobuf_HAVE_BUILTIN_ATOMICS - Success -- Caffe2 protobuf include directory: $$ -- Trying to find preferred BLAS backend of choice: MKL -- MKL_THREADING = OMP -- Looking for sys/types.h -- Looking for sys/types.h - found -- Looking for stdint.h -- Looking for stdint.h - found -- Looking for stddef.h -- Looking for stddef.h - found -- Check size of void* -- Check size of void* - done -- MKL_THREADING = OMP CMake Warning at cmake/Dependencies.cmake:226 (message): MKL could not be found. Defaulting to Eigen Call Stack (most recent call first): CMakeLists.txt:717 (include) CMake Warning at cmake/Dependencies.cmake:263 (message): Preferred BLAS (MKL) cannot be found, now searching for a general BLAS library Call Stack (most recent call first): CMakeLists.txt:717 (include) -- MKL_THREADING = OMP -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl - guide - pthread - m] -- Library mkl: not found -- MKL library not found -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Checking for [Accelerate] -- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND -- Checking for [vecLib] -- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND -- Checking for [flexiblas] -- Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND -- Checking for [openblas] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m - gomp] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran - pthread] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [acml - gfortran] -- Library acml: BLAS_acml_LIBRARY-NOTFOUND -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY) -- Checking for [ptf77blas - atlas - gfortran] -- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND -- Checking for [] -- Looking for sgemm_ -- Looking for sgemm_ - not found -- Cannot find a library with BLAS API. Not using BLAS. -- Using pocketfft in directory: /builddir/build/BUILD/pytorch-v2.0.1/third_party/pocketfft/ CMake Deprecation Warning at third_party/cpuinfo/deps/clog/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): Compatibility with CMake < 3.5 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- The ASM compiler identification is GNU -- Found assembler: /usr/bin/gcc CMake Deprecation Warning at third_party/psimd/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): Compatibility with CMake < 3.5 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. CMake Deprecation Warning at third_party/FP16/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): Compatibility with CMake < 3.5 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- Brace yourself, we are building NNPACK CMake Deprecation Warning at third_party/NNPACK/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): Compatibility with CMake < 3.5 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- Performing Test NNPACK_ARCH_IS_X86_32 -- Performing Test NNPACK_ARCH_IS_X86_32 - Failed CMake Warning (dev) at third_party/NNPACK/CMakeLists.txt:110 (FIND_PACKAGE): Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules are removed. Run "cmake --help-policy CMP0148" for policy details. Use the cmake_policy command to set the policy and suppress this warning. This warning is for project developers. Use -Wno-dev to suppress it. -- Found PythonInterp: /usr/bin/python3 (found version "3.11.6") -- NNPACK backend is x86-64 CMake Warning (dev) at third_party/fbgemm/CMakeLists.txt:9 (find_package): Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules are removed. Run "cmake --help-policy CMP0148" for policy details. Use the cmake_policy command to set the policy and suppress this warning. This warning is for project developers. Use -Wno-dev to suppress it. -- Performing Test COMPILER_SUPPORTS_AVX512 -- Performing Test COMPILER_SUPPORTS_AVX512 - Success CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:441 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_C) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/fbgemm/CMakeLists.txt:85 (find_package) This warning is for project developers. Use -Wno-dev to suppress it. -- Found OpenMP_C: -fopenmp (found version "4.5") CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:441 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_CXX) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/fbgemm/CMakeLists.txt:85 (find_package) This warning is for project developers. Use -Wno-dev to suppress it. -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Found OpenMP: TRUE (found version "4.5") CMake Warning at third_party/fbgemm/CMakeLists.txt:87 (message): OpenMP found! OpenMP_C_INCLUDE_DIRS = CMake Warning at third_party/fbgemm/CMakeLists.txt:186 (message): ========== CMake Warning at third_party/fbgemm/CMakeLists.txt:187 (message): CMAKE_BUILD_TYPE = Release CMake Warning at third_party/fbgemm/CMakeLists.txt:188 (message): CMAKE_CXX_FLAGS_DEBUG is -g CMake Warning at third_party/fbgemm/CMakeLists.txt:189 (message): CMAKE_CXX_FLAGS_RELEASE is -O3 -DNDEBUG CMake Warning at third_party/fbgemm/CMakeLists.txt:190 (message): ========== -- Performing Test __CxxFlag__fno_threadsafe_statics -- Performing Test __CxxFlag__fno_threadsafe_statics - Success -- Performing Test __CxxFlag__fno_semantic_interposition -- Performing Test __CxxFlag__fno_semantic_interposition - Success -- Performing Test __CxxFlag__fmerge_all_constants -- Performing Test __CxxFlag__fmerge_all_constants - Success -- Performing Test __CxxFlag__fno_enforce_eh_specs -- Performing Test __CxxFlag__fno_enforce_eh_specs - Success ** AsmJit Summary ** ASMJIT_DIR=/builddir/build/BUILD/pytorch-v2.0.1/third_party/fbgemm/third_party/asmjit ASMJIT_TEST=FALSE ASMJIT_TARGET_TYPE=STATIC ASMJIT_DEPS=pthread;rt ASMJIT_LIBS=asmjit;pthread;rt ASMJIT_CFLAGS=-DASMJIT_STATIC ASMJIT_PRIVATE_CFLAGS=-Wall;-Wextra;-Wconversion;-fno-math-errno;-fno-threadsafe-statics;-fno-semantic-interposition;-DASMJIT_STATIC ASMJIT_PRIVATE_CFLAGS_DBG= ASMJIT_PRIVATE_CFLAGS_REL=-O2;-fmerge-all-constants;-fno-enforce-eh-specs -- Found Numa: /usr/include -- Found Numa (include: /usr/include, library: /usr/lib64/libnuma.so) CMake Deprecation Warning at third_party/ittapi/CMakeLists.txt:7 (cmake_minimum_required): Compatibility with CMake < 3.5 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- Using third party subdirectory Eigen. CMake Warning (dev) at cmake/Dependencies.cmake:1085 (find_package): Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules are removed. Run "cmake --help-policy CMP0148" for policy details. Use the cmake_policy command to set the policy and suppress this warning. Call Stack (most recent call first): CMakeLists.txt:717 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Found PythonInterp: /usr/bin/python3 (found suitable version "3.11.6", minimum required is "3.0") CMake Warning (dev) at cmake/Dependencies.cmake:1086 (find_package): Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules are removed. Run "cmake --help-policy CMP0148" for policy details. Use the cmake_policy command to set the policy and suppress this warning. Call Stack (most recent call first): CMakeLists.txt:717 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Found PythonLibs: /usr/lib64/libpython3.11.so.1.0 (found suitable version "3.11.6", minimum required is "3.0") -- Using third_party/pybind11. -- pybind11 include dirs: /builddir/build/BUILD/pytorch-v2.0.1/cmake/../third_party/pybind11/include -- Checking for module 'mpi-c' -- Package 'mpi-c', required by 'virtual:world', not found -- Could NOT find MPI_C (missing: MPI_C_LIB_NAMES MPI_C_HEADER_DIR MPI_C_WORKS) -- Checking for module 'mpi-cxx' -- Package 'mpi-cxx', required by 'virtual:world', not found -- Could NOT find MPI_CXX (missing: MPI_CXX_LIB_NAMES MPI_CXX_HEADER_DIR MPI_CXX_WORKS) -- Could NOT find MPI (missing: MPI_C_FOUND MPI_CXX_FOUND) CMake Warning at cmake/Dependencies.cmake:1179 (message): Not compiling with MPI. Suppress this warning with -DUSE_MPI=OFF Call Stack (most recent call first): CMakeLists.txt:717 (include) -- Found OpenMP_C: -fopenmp -- Found OpenMP_CXX: -fopenmp -- Found OpenMP: TRUE -- Adding OpenMP CXX_FLAGS: -fopenmp -- Will link against OpenMP libraries: /usr/lib/gcc/x86_64-anolis-linux/12/libgomp.so;/usr/lib64/libpthread.a -- Disabling kernel asserts for ROCm CMake Warning at cmake/External/nccl.cmake:69 (message): Enabling NCCL library slimming Call Stack (most recent call first): cmake/Dependencies.cmake:1357 (include) CMakeLists.txt:717 (include) -- Found CUB: /usr/local/cuda/include -- Converting CMAKE_CUDA_FLAGS to CUDA_NVCC_FLAGS: CUDA_NVCC_FLAGS = -Xfatbin;-compress-all;-DONNX_NAMESPACE=onnx_torch;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-Xcudafe;--diag_suppress=cc_clobber_ignored,--diag_suppress=integer_sign_change,--diag_suppress=useless_using_declaration,--diag_suppress=set_but_not_used,--diag_suppress=field_without_dll_interface,--diag_suppress=base_class_has_different_dll_interface,--diag_suppress=dll_interface_conflict_none_assumed,--diag_suppress=dll_interface_conflict_dllexport_assumed,--diag_suppress=implicit_return_from_non_void_function,--diag_suppress=unsigned_compare_with_zero,--diag_suppress=declared_but_not_referenced,--diag_suppress=bad_friend_decl;--expt-relaxed-constexpr;--expt-extended-lambda CUDA_NVCC_FLAGS_DEBUG = -g;-lineinfo;--source-in-ptx CUDA_NVCC_FLAGS_RELEASE = -O3;-DNDEBUG CUDA_NVCC_FLAGS_RELWITHDEBINFO = -g;-lineinfo;--source-in-ptx CUDA_NVCC_FLAGS_MINSIZEREL = -O1;-DNDEBUG CMake Deprecation Warning at third_party/tensorpipe/third_party/libuv/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.5 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- Performing Test UV_LINT_W4 -- Performing Test UV_LINT_W4 - Failed -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC - Failed -- Performing Test UV_LINT_NO_HIDES_LOCAL -- Performing Test UV_LINT_NO_HIDES_LOCAL - Failed -- Performing Test UV_LINT_NO_HIDES_PARAM -- Performing Test UV_LINT_NO_HIDES_PARAM - Failed -- Performing Test UV_LINT_NO_HIDES_GLOBAL -- Performing Test UV_LINT_NO_HIDES_GLOBAL - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC - Failed -- Performing Test UV_LINT_NO_UNSAFE_MSVC -- Performing Test UV_LINT_NO_UNSAFE_MSVC - Failed -- Performing Test UV_LINT_WALL -- Performing Test UV_LINT_WALL - Success -- Performing Test UV_LINT_NO_UNUSED_PARAMETER -- Performing Test UV_LINT_NO_UNUSED_PARAMETER - Success -- Performing Test UV_LINT_STRICT_PROTOTYPES -- Performing Test UV_LINT_STRICT_PROTOTYPES - Success -- Performing Test UV_LINT_EXTRA -- Performing Test UV_LINT_EXTRA - Success -- Performing Test UV_LINT_UTF8_MSVC -- Performing Test UV_LINT_UTF8_MSVC - Failed -- Performing Test UV_F_STRICT_ALIASING -- Performing Test UV_F_STRICT_ALIASING - Success -- summary of build options: Install prefix: /builddir/build/BUILD/pytorch-v2.0.1/torch Target system: Linux Compiler: C compiler: /usr/bin/gcc CFLAGS: -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -- Found uv: 1.38.1 (found version "1.38.1") -- Converting CMAKE_CUDA_FLAGS to CUDA_NVCC_FLAGS: CUDA_NVCC_FLAGS = -Xfatbin;-compress-all;-DONNX_NAMESPACE=onnx_torch;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-Xcudafe;--diag_suppress=cc_clobber_ignored,--diag_suppress=integer_sign_change,--diag_suppress=useless_using_declaration,--diag_suppress=set_but_not_used,--diag_suppress=field_without_dll_interface,--diag_suppress=base_class_has_different_dll_interface,--diag_suppress=dll_interface_conflict_none_assumed,--diag_suppress=dll_interface_conflict_dllexport_assumed,--diag_suppress=implicit_return_from_non_void_function,--diag_suppress=unsigned_compare_with_zero,--diag_suppress=declared_but_not_referenced,--diag_suppress=bad_friend_decl;--expt-relaxed-constexpr;--expt-extended-lambda CUDA_NVCC_FLAGS_DEBUG = -g;-lineinfo;--source-in-ptx CUDA_NVCC_FLAGS_RELEASE = -O3;-DNDEBUG CUDA_NVCC_FLAGS_RELWITHDEBINFO = -g;-lineinfo;--source-in-ptx CUDA_NVCC_FLAGS_MINSIZEREL = -O1;-DNDEBUG CMake Deprecation Warning at third_party/gloo/CMakeLists.txt:1 (cmake_minimum_required): Compatibility with CMake < 3.5 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. CMake Warning (dev) at third_party/gloo/CMakeLists.txt:21 (option): Policy CMP0077 is not set: option() honors normal variables. Run "cmake --help-policy CMP0077" for policy details. Use the cmake_policy command to set the policy and suppress this warning. For compatibility with older versions of CMake, option is clearing the normal variable 'BUILD_BENCHMARK'. This warning is for project developers. Use -Wno-dev to suppress it. -- Gloo build as SHARED library -- Found CUDA: /usr/local/cuda (found suitable version "12.5", minimum required is "7.0") -- CUDA detected: 12.5 CMake Warning at cmake/Dependencies.cmake:1500 (message): Metal is only used in ios builds. Call Stack (most recent call first): CMakeLists.txt:717 (include) CMake Deprecation Warning at third_party/onnx/CMakeLists.txt:2 (cmake_minimum_required): Compatibility with CMake < 3.5 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. CMake Warning (dev) at third_party/onnx/CMakeLists.txt:119 (find_package): Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules are removed. Run "cmake --help-policy CMP0148" for policy details. Use the cmake_policy command to set the policy and suppress this warning. This warning is for project developers. Use -Wno-dev to suppress it. -- Found PythonInterp: /usr/bin/python3 (found version "3.11.6") Generated: /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_onnx_torch-ml.proto Generated: /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-operators_onnx_torch-ml.proto Generated: /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-data_onnx_torch.proto -- -- ******** Summary ******** -- CMake version : 3.30.5 -- CMake command : /usr/bin/cmake -- System : Linux -- C++ compiler : /usr/bin/g++ -- C++ compiler version : 12.3.0 -- CXX flags : -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -D_GLIBCXX_USE_CXX11_ABI=1 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -Wnon-virtual-dtor -- Build type : Release -- Compile definitions : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1;__STDC_FORMAT_MACROS -- CMAKE_PREFIX_PATH : /usr/lib/python3.11/site-packages;/usr/local/cuda -- CMAKE_INSTALL_PREFIX : /builddir/build/BUILD/pytorch-v2.0.1/torch -- CMAKE_MODULE_PATH : /builddir/build/BUILD/pytorch-v2.0.1/cmake/Modules;/builddir/build/BUILD/pytorch-v2.0.1/cmake/public/../Modules_CUDA_fix -- -- ONNX version : 1.13.1rc2 -- ONNX NAMESPACE : onnx_torch -- ONNX_USE_LITE_PROTO : OFF -- USE_PROTOBUF_SHARED_LIBS : OFF -- Protobuf_USE_STATIC_LIBS : ON -- ONNX_DISABLE_EXCEPTIONS : OFF -- ONNX_WERROR : OFF -- ONNX_BUILD_TESTS : OFF -- ONNX_BUILD_BENCHMARKS : OFF -- -- Protobuf compiler : -- Protobuf includes : -- Protobuf libraries : -- BUILD_ONNX_PYTHON : OFF CMake Deprecation Warning at third_party/foxi/CMakeLists.txt:2 (cmake_minimum_required): Compatibility with CMake < 3.5 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- -- ******** Summary ******** -- CMake version : 3.30.5 -- CMake command : /usr/bin/cmake -- System : Linux -- C++ compiler : /usr/bin/g++ -- C++ compiler version : 12.3.0 -- CXX flags : -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -D_GLIBCXX_USE_CXX11_ABI=1 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -Wnon-virtual-dtor -- Build type : Release -- Compile definitions : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1 -- CMAKE_PREFIX_PATH : /usr/lib/python3.11/site-packages;/usr/local/cuda -- CMAKE_INSTALL_PREFIX : /builddir/build/BUILD/pytorch-v2.0.1/torch -- CMAKE_MODULE_PATH : /builddir/build/BUILD/pytorch-v2.0.1/cmake/Modules;/builddir/build/BUILD/pytorch-v2.0.1/cmake/public/../Modules_CUDA_fix -- -- ONNX version : 1.4.1 -- ONNX NAMESPACE : onnx_torch -- ONNX_BUILD_TESTS : OFF -- ONNX_BUILD_BENCHMARKS : OFF -- ONNX_USE_LITE_PROTO : OFF -- ONNXIFI_DUMMY_BACKEND : -- -- Protobuf compiler : -- Protobuf includes : -- Protobuf libraries : -- BUILD_ONNX_PYTHON : OFF -- Found CUDA with FP16 support, compiling with torch.cuda.HalfTensor -- Adding -DNDEBUG to compile flags -- Checking prototype magma_get_sgeqrf_nb for MAGMA_V2 -- Checking prototype magma_get_sgeqrf_nb for MAGMA_V2 - False -- Compiling with MAGMA support -- MAGMA INCLUDE DIRECTORIES: /usr/include -- MAGMA LIBRARIES: /usr/lib64/libmagma.so -- MAGMA V2 check: 0 CMake Warning (dev) at cmake/Modules/FindARM.cmake:5 (EXEC_PROGRAM): Policy CMP0153 is not set: The exec_program command should not be called. Run "cmake --help-policy CMP0153" for policy details. Use the cmake_policy command to set the policy and suppress this warning. Use execute_process() instead. Call Stack (most recent call first): cmake/Dependencies.cmake:1699 (find_package) CMakeLists.txt:717 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Could not find hardware support for NEON on this machine. -- No OMAP3 processor on this machine. -- No OMAP4 processor on this machine. -- MKL_THREADING = OMP -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl - guide - pthread - m] -- Library mkl: not found -- MKL library not found -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Checking for [Accelerate] -- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND -- Checking for [vecLib] -- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND -- Checking for [flexiblas] -- Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND -- Checking for [openblas] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m - gomp] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran - pthread] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [acml - gfortran] -- Library acml: BLAS_acml_LIBRARY-NOTFOUND -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY) -- Checking for [ptf77blas - atlas - gfortran] -- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND -- Checking for [] -- Cannot find a library with BLAS API. Not using BLAS. -- LAPACK requires BLAS -- Cannot find a library with LAPACK API. Not using LAPACK. -- MIOpen not found. Compiling without MIOpen support disabling ROCM because NOT USE_ROCM is set -- Will build oneDNN Graph -- MKL_THREADING = OMP -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl - guide - pthread - m] -- Library mkl: not found -- MKL library not found -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Checking for [Accelerate] -- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND -- Checking for [vecLib] -- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND -- Checking for [flexiblas] -- Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND -- Checking for [openblas] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m - gomp] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran - pthread] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [acml - gfortran] -- Library acml: BLAS_acml_LIBRARY-NOTFOUND -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY) -- Checking for [ptf77blas - atlas - gfortran] -- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND -- Checking for [] -- Cannot find a library with BLAS API. Not using BLAS. -- MKLDNN_CPU_RUNTIME = OMP CMake Deprecation Warning at third_party/ideep/mkl-dnn/CMakeLists.txt:17 (cmake_minimum_required): Compatibility with CMake < 3.5 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- cmake version: 3.30.5 CMake Deprecation Warning at third_party/ideep/mkl-dnn/CMakeLists.txt:36 (cmake_policy): The OLD behavior for policy CMP0025 will be removed from a future version of CMake. The cmake-policies(7) manual explains that the OLD behaviors of all policies are deprecated and that a policy should be set to OLD only under specific short-term circumstances. Projects should be ported to the NEW behavior and not rely on setting a policy to OLD. CMake Deprecation Warning at third_party/ideep/mkl-dnn/third_party/oneDNN/CMakeLists.txt:17 (cmake_minimum_required): Compatibility with CMake < 3.5 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- DNNL_TARGET_ARCH: X64 -- DNNL_LIBRARY_NAME: dnnl CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:441 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_C) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/ideep/mkl-dnn/third_party/oneDNN/cmake/OpenMP.cmake:69 (find_package) third_party/ideep/mkl-dnn/third_party/oneDNN/CMakeLists.txt:117 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Found OpenMP_C: -fopenmp CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:441 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_CXX) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/ideep/mkl-dnn/third_party/oneDNN/cmake/OpenMP.cmake:69 (find_package) third_party/ideep/mkl-dnn/third_party/oneDNN/CMakeLists.txt:117 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Found OpenMP_CXX: -fopenmp -- Could NOT find Doxyrest (missing: DOXYREST_EXECUTABLE) CMake Warning (dev) at third_party/ideep/mkl-dnn/third_party/oneDNN/cmake/Sphinx.cmake:25 (find_package): Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules are removed. Run "cmake --help-policy CMP0148" for policy details. Use the cmake_policy command to set the policy and suppress this warning. Call Stack (most recent call first): third_party/ideep/mkl-dnn/third_party/oneDNN/cmake/doc.cmake:19 (include) third_party/ideep/mkl-dnn/third_party/oneDNN/CMakeLists.txt:125 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Found PythonInterp: /usr/bin/python3 (found suitable version "3.11.6", minimum required is "2.7") -- Could NOT find Sphinx (missing: SPHINX_EXECUTABLE) -- Could NOT find Git (missing: GIT_EXECUTABLE) -- Enabled workload: TRAINING -- Enabled primitives: ALL -- Enabled primitive CPU ISA: ALL -- Enabled primitive GPU ISA: ALL -- Primitive cache is enabled -- Looking for /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/include/oneapi/dnnl/dnnl_graph.h -- Looking for /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/include/oneapi/dnnl/dnnl_graph.h - found -- Looking for /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/include/oneapi/dnnl/dnnl_graph_types.h -- Looking for /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/include/oneapi/dnnl/dnnl_graph_types.h - found -- Looking for C++ include /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/include/oneapi/dnnl/dnnl_graph.hpp -- Looking for C++ include /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/include/oneapi/dnnl/dnnl_graph.hpp - found -- Could NOT find Doxygen (missing: DOXYGEN_EXECUTABLE) -- Cannot find Doxygen package -- Could NOT find Git (missing: GIT_EXECUTABLE) CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:441 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_C) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/ideep/mkl-dnn/cmake/OpenMP.cmake:62 (find_package) third_party/ideep/mkl-dnn/CMakeLists.txt:179 (include) This warning is for project developers. Use -Wno-dev to suppress it. CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:441 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_CXX) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/ideep/mkl-dnn/cmake/OpenMP.cmake:62 (find_package) third_party/ideep/mkl-dnn/CMakeLists.txt:179 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- DNNL_GRAPH_BUILD_FOR_CI is set to be OFF -- Compiling oneDNN Graph with CPU runtime OMP support -- Compiling oneDNN Graph with GPU runtime NONE support -- Graph compiler backend is disabled. -- Set version definitions to /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/src/utils/verbose.cpp -- Compiled partition cache is enabled -- Found MKL-DNN: TRUE -- Looking for clock_gettime in rt -- Looking for clock_gettime in rt - found -- Looking for mmap -- Looking for mmap - found -- Looking for shm_open -- Looking for shm_open - found -- Looking for shm_unlink -- Looking for shm_unlink - found -- Looking for malloc_usable_size -- Looking for malloc_usable_size - found -- Performing Test C_HAS_THREAD -- Performing Test C_HAS_THREAD - Success -- Module support is disabled. -- Version: 9.1.0 -- Build type: Release -- CXX_STANDARD: 17 -- Performing Test has_std_17_flag -- Performing Test has_std_17_flag - Success -- Performing Test has_std_1z_flag -- Performing Test has_std_1z_flag - Success -- Required features: cxx_variadic_templates -- Using Kineto with CUPTI support -- Configuring Kineto dependency: -- KINETO_SOURCE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto -- KINETO_BUILD_TESTS = OFF -- KINETO_LIBRARY_TYPE = static -- CUDA_SOURCE_DIR = /usr/local/cuda -- CUDA_INCLUDE_DIRS = /usr/local/cuda/include -- CUPTI_INCLUDE_DIR = /usr/local/cuda/include -- CUDA_cupti_LIBRARY = /usr/local/cuda/lib64/libcupti.so -- Found CUPTI CMake Warning (dev) at third_party/kineto/libkineto/CMakeLists.txt:15 (find_package): Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules are removed. Run "cmake --help-policy CMP0148" for policy details. Use the cmake_policy command to set the policy and suppress this warning. This warning is for project developers. Use -Wno-dev to suppress it. -- Found PythonInterp: /usr/bin/python3 (found version "3.11.6") INFO ROCM_SOURCE_DIR = -- Kineto: FMT_SOURCE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/fmt -- Kineto: FMT_INCLUDE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/fmt/include INFO CUPTI_INCLUDE_DIR = /usr/local/cuda/include INFO ROCTRACER_INCLUDE_DIR = /include/roctracer INFO DYNOLOG_INCLUDE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/ INFO IPCFABRIC_INCLUDE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog//dynolog/src/ipcfabric/ -- Configured Kineto -- GCC 12.3.0: Adding gcc and gcc_s libs to link line -- Performing Test HAS_WERROR_RETURN_TYPE -- Performing Test HAS_WERROR_RETURN_TYPE - Success -- Performing Test HAS_WERROR_NON_VIRTUAL_DTOR -- Performing Test HAS_WERROR_NON_VIRTUAL_DTOR - Success -- Performing Test HAS_WERROR_BRACED_SCALAR_INIT -- Performing Test HAS_WERROR_BRACED_SCALAR_INIT - Failed -- Performing Test HAS_WERROR_RANGE_LOOP_CONSTRUCT -- Performing Test HAS_WERROR_RANGE_LOOP_CONSTRUCT - Success -- Performing Test HAS_WERROR_BOOL_OPERATION -- Performing Test HAS_WERROR_BOOL_OPERATION - Success -- Performing Test HAS_WINCONSISTENT_MISSING_OVERRIDE -- Performing Test HAS_WINCONSISTENT_MISSING_OVERRIDE - Failed -- Performing Test HAS_WNARROWING -- Performing Test HAS_WNARROWING - Success -- Performing Test HAS_WNO_MISSING_FIELD_INITIALIZERS -- Performing Test HAS_WNO_MISSING_FIELD_INITIALIZERS - Success -- Performing Test HAS_WNO_TYPE_LIMITS -- Performing Test HAS_WNO_TYPE_LIMITS - Success -- Performing Test HAS_WNO_ARRAY_BOUNDS -- Performing Test HAS_WNO_ARRAY_BOUNDS - Success -- Performing Test HAS_WNO_UNKNOWN_PRAGMAS -- Performing Test HAS_WNO_UNKNOWN_PRAGMAS - Success -- Performing Test HAS_WUNUSED_LOCAL_TYPEDEFS -- Performing Test HAS_WUNUSED_LOCAL_TYPEDEFS - Success -- Performing Test HAS_WNO_UNUSED_PARAMETER -- Performing Test HAS_WNO_UNUSED_PARAMETER - Success -- Performing Test HAS_WNO_UNUSED_FUNCTION -- Performing Test HAS_WNO_UNUSED_FUNCTION - Success -- Performing Test HAS_WNO_UNUSED_RESULT -- Performing Test HAS_WNO_UNUSED_RESULT - Success -- Performing Test HAS_WNO_STRICT_OVERFLOW -- Performing Test HAS_WNO_STRICT_OVERFLOW - Success -- Performing Test HAS_WNO_STRICT_ALIASING -- Performing Test HAS_WNO_STRICT_ALIASING - Success -- Performing Test HAS_WNO_ERROR_DEPRECATED_DECLARATIONS -- Performing Test HAS_WNO_ERROR_DEPRECATED_DECLARATIONS - Success -- Performing Test HAS_WVLA_EXTENSION -- Performing Test HAS_WVLA_EXTENSION - Failed -- Performing Test HAS_WNO_ERROR_PEDANTIC -- Performing Test HAS_WNO_ERROR_PEDANTIC - Success -- Performing Test HAS_WNO_ERROR_REDUNDANT_DECLS -- Performing Test HAS_WNO_ERROR_REDUNDANT_DECLS - Success -- Performing Test HAS_WNO_ERROR_OLD_STYLE_CAST -- Performing Test HAS_WNO_ERROR_OLD_STYLE_CAST - Success -- Performing Test HAS_FCOLOR_DIAGNOSTICS -- Performing Test HAS_FCOLOR_DIAGNOSTICS - Failed -- Performing Test HAS_FDIAGNOSTICS_COLOR_ALWAYS -- Performing Test HAS_FDIAGNOSTICS_COLOR_ALWAYS - Success -- Performing Test HAS_WNO_UNUSED_BUT_SET_VARIABLE -- Performing Test HAS_WNO_UNUSED_BUT_SET_VARIABLE - Success -- Performing Test HAS_WNO_MAYBE_UNINITIALIZED -- Performing Test HAS_WNO_MAYBE_UNINITIALIZED - Success -- Performing Test HAS_FNO_MATH_ERRNO -- Performing Test HAS_FNO_MATH_ERRNO - Success -- Performing Test HAS_FNO_TRAPPING_MATH -- Performing Test HAS_FNO_TRAPPING_MATH - Success -- Performing Test HAS_WERROR_FORMAT -- Performing Test HAS_WERROR_FORMAT - Success -- Performing Test HAS_WERROR_CAST_FUNCTION_TYPE -- Performing Test HAS_WERROR_CAST_FUNCTION_TYPE - Success -- Performing Test HAS_WNO_STRINGOP_OVERFLOW -- Performing Test HAS_WNO_STRINGOP_OVERFLOW - Success -- Looking for backtrace -- Looking for backtrace - found -- backtrace facility detected in default set of libraries -- Found Backtrace: /usr/include -- NUMA paths: -- /usr/include -- /usr/lib64/libnuma.so -- headers outputs: -- sources outputs: -- declarations_yaml outputs: -- Performing Test COMPILER_SUPPORTS_NO_AVX256_SPLIT -- Performing Test COMPILER_SUPPORTS_NO_AVX256_SPLIT - Success -- Using ATen parallel backend: OMP CMake Deprecation Warning at third_party/sleef/CMakeLists.txt:87 (cmake_minimum_required): Compatibility with CMake < 3.5 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. CMake Deprecation Warning at third_party/sleef/CMakeLists.txt:91 (cmake_policy): The OLD behavior for policy CMP0066 will be removed from a future version of CMake. The cmake-policies(7) manual explains that the OLD behaviors of all policies are deprecated and that a policy should be set to OLD only under specific short-term circumstances. 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third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/brgemm/brgemm_utils.cpp.o [ 1%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/brgemm/jit_brdgmm_kernel.cpp.o [ 1%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/strscpy.c.o [ 1%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/constpool.cpp.o [ 1%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/allreduce.cc.o [ 1%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/bfloat16.cpp.o [ 1%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/bfloat16.cpp.o [ 1%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/allreduce_local.cc.o [ 1%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/alltoall.cc.o [ 1%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/brgemm/jit_brgemm_kernel.cpp.o [ 1%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/timer.c.o [ 1%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/threadpool.c.o [ 1%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/binary.cpp.o [ 1%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/io/zero_copy_stream.cc.o [ 1%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/broadcast_strategy.cpp.o [ 1%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/emithelper.cpp.o [ 1%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/binary_injector_utils.cpp.o [ 1%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/alltoallv.cc.o [ 1%] No download step for 'nccl_external' [ 1%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/brgemm/jit_brgemm_amx_uker.cpp.o [ 1%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/uv-common.c.o [ 1%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/cpuinfo.cpp.o [ 1%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/cpu_barrier.cpp.o [ 1%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/uv-data-getter-setters.c.o [ 1%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/barrier.cc.o [ 1%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/emitter.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/cpuinfo/deps/clog/src/clog.c: In function ‘clog_vlog_fatal’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/cpuinfo/deps/clog/src/clog.c:117:25: warning: ignoring return value of ‘write’ declared with attribute ‘warn_unused_result’ [-Wunused-result] 117 | write(STDERR_FILENO, out_buffer, prefix_chars + format_chars + CLOG_SUFFIX_LENGTH); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/cpuinfo/deps/clog/src/clog.c: In function ‘clog_vlog_error’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/cpuinfo/deps/clog/src/clog.c:195:25: warning: ignoring return value of ‘write’ declared with attribute ‘warn_unused_result’ [-Wunused-result] 195 | write(STDERR_FILENO, out_buffer, prefix_chars + format_chars + CLOG_SUFFIX_LENGTH); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/cpuinfo/deps/clog/src/clog.c: In function ‘clog_vlog_warning’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/cpuinfo/deps/clog/src/clog.c:273:25: warning: ignoring return value of ‘write’ declared with attribute ‘warn_unused_result’ [-Wunused-result] 273 | write(STDERR_FILENO, out_buffer, prefix_chars + format_chars + CLOG_SUFFIX_LENGTH); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/cpuinfo/deps/clog/src/clog.c: In function ‘clog_vlog_info’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/cpuinfo/deps/clog/src/clog.c:351:25: warning: ignoring return value of ‘write’ declared with attribute ‘warn_unused_result’ [-Wunused-result] 351 | write(STDOUT_FILENO, out_buffer, prefix_chars + format_chars + CLOG_SUFFIX_LENGTH); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/cpuinfo/deps/clog/src/clog.c: In function ‘clog_vlog_debug’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/cpuinfo/deps/clog/src/clog.c:429:25: warning: ignoring return value of ‘write’ declared with attribute ‘warn_unused_result’ [-Wunused-result] 429 | write(STDOUT_FILENO, out_buffer, prefix_chars + format_chars + CLOG_SUFFIX_LENGTH); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 1%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/allocator.cpp.o [ 1%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_batch_normalization_list.cpp.o [ 1%] Building CXX object third_party/ideep/mkl-dnn/src/backend/fake/CMakeFiles/dnnl_graph_backend_fake.dir/fake_backend.cpp.o [ 1%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/io/zero_copy_stream.cc.o [ 1%] Building CXX object third_party/fmt/CMakeFiles/fmt.dir/src/format.cc.o [ 1%] Built target microkernel-utils [ 1%] Building CXX object third_party/ideep/mkl-dnn/src/utils/CMakeFiles/dnnl_graph_utils.dir/debug.cpp.o [ 1%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_api.dir/src/ThreadUtil.cpp.o [ 1%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/common.cpp.o [ 1%] Building CXX object c10/CMakeFiles/c10.dir/core/Allocator.cpp.o [ 1%] Built target libkineto_defs.bzl [ 1%] Linking C static library ../../../../lib/libclog.a [ 1%] No update step for 'nccl_external' [ 1%] Building CXX object c10/CMakeFiles/c10.dir/core/AutogradState.cpp.o [ 1%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_batch_normalization_utils.cpp.o [ 1%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/io/zero_copy_stream_impl.cc.o [ 1%] No patch step for 'nccl_external' [ 2%] Building C object third_party/foxi/CMakeFiles/foxi_loader.dir/foxi/onnxifi_loader.c.o [ 2%] Building CXX object caffe2/CMakeFiles/caffe2_nvrtc.dir/__/aten/src/ATen/cuda/nvrtc_stub/ATenNVRTC.cpp.o [ 2%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/io/zero_copy_stream_impl_lite.cc.o [ 2%] Built target clog [ 2%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/message_lite.cc.o [ 2%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/version.c.o [ 2%] No configure step for 'nccl_external' [ 2%] Building C object sleef/src/common/CMakeFiles/common.dir/common.c.o [ 2%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/async.c.o [ 2%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/parse_context.cc.o [ 2%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/repeated_field.cc.o [ 2%] Linking C static library ../../lib/libfoxi_loader.a [ 2%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/cache_blob_id.cpp.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/core.c.o [ 3%] Building C object sleef/src/libm/CMakeFiles/mkrename.dir/mkrename.c.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/concat.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.c:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.c: In function ‘uv_walk’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:68:19: warning: storing the address of local variable ‘queue’ in ‘((void * (**)[2])MEM[(void *[2] * *)loop_13(D) + 16B])[1]’ [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:78:7: note: in expansion of macro ‘QUEUE_SPLIT’ 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.c:491:3: note: in expansion of macro ‘QUEUE_MOVE’ 491 | QUEUE_MOVE(&loop->handle_queue, &queue); | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.c:487:9: note: ‘queue’ declared here 487 | QUEUE queue; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:40:27: note: ‘((void * (**)[2])loop)[2]’ declared here 40 | ((const QUEUE *) (q) == (const QUEUE *) QUEUE_NEXT(q)) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:74:9: note: in expansion of macro ‘QUEUE_EMPTY’ 74 | if (QUEUE_EMPTY(h)) \ | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.c:491:3: note: in expansion of macro ‘QUEUE_MOVE’ 491 | QUEUE_MOVE(&loop->handle_queue, &queue); | ^~~~~~~~~~ [ 3%] Performing build step for 'nccl_external' [ 3%] Built target convolution-test-helpers [ 3%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/broadcast.cc.o [ 3%] Built target common [ 3%] Built target foxi_loader [ 3%] Building CXX object third_party/fmt/CMakeFiles/fmt.dir/src/os.cc.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_binary_list.cpp.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/dl.c.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_concat.cpp.o [ 3%] Linking C executable ../../bin/mkrename [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/fs.c.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_convolution_list.cpp.o [ 3%] Generating ATen headers [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_deconvolution_list.cpp.o [ 3%] Built target mkrename Generating nccl.h.in > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/include/nccl.h [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/getaddrinfo.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In member function ‘bool google::protobuf::io::CodedInputStream::ReadLittleEndian32Fallback(google::protobuf::uint32*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:315:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 315 | if (BufferSize() >= sizeof(*value)) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In member function ‘bool google::protobuf::io::CodedInputStream::ReadLittleEndian32Fallback(google::protobuf::uint32*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:315:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 315 | if (BufferSize() >= sizeof(*value)) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In member function ‘bool google::protobuf::io::CodedInputStream::ReadLittleEndian64Fallback(google::protobuf::uint64*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:332:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 332 | if (BufferSize() >= sizeof(*value)) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In member function ‘bool google::protobuf::io::CodedInputStream::ReadLittleEndian64Fallback(google::protobuf::uint64*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:332:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 332 | if (BufferSize() >= sizeof(*value)) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ Grabbing include/nccl_net.h > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/include/nccl_net.h [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/getnameinfo.c.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/convolution.cpp.o Generating nccl.pc.in > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/lib/pkgconfig/nccl.pc /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 2; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:421:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 354 | for (int i = 0, offset = 0; i < N - 1; i++, offset += 7) { | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 3; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:423:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 2; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:421:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 354 | for (int i = 0, offset = 0; i < N - 1; i++, offset += 7) { | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 3; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:423:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 4; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:425:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 5; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:427:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 4; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:425:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 6; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:429:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 5; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:427:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 7; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:431:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 6; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:429:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 8; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:433:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 7; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:431:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 9; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:435:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 8; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:433:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 10; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:437:39: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 9; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:435:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 10; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:437:39: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_enum_util.cc: In function ‘bool google::protobuf::internal::InitializeEnumStrings(const EnumEntry*, const int*, size_t, ExplicitlyConstructed >*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_enum_util.cc:86:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (int i = 0; i < size; ++i) { | ~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/barrier.cc: In function ‘void gloo::barrier(BarrierOptions&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/barrier.cc:30:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 30 | for (size_t d = 1; d < context->size; d <<= 1) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_enum_util.cc: In function ‘bool google::protobuf::internal::InitializeEnumStrings(const EnumEntry*, const int*, size_t, ExplicitlyConstructed >*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_enum_util.cc:86:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (int i = 0; i < size; ++i) { | ~~^~~~~~ [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/loop-watcher.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc: In function ‘void gloo::{anonymous}::allreduce(const gloo::detail::AllreduceOptionsImpl&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:105:14: warning: variable ‘slot’ set but not used [-Wunused-but-set-variable] 105 | const auto slot = Slot::build(kAllreduceSlotPrefix, opts.tag); | ^~~~ Compiling init.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/init.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/convolution_pd.cpp.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/src/utils/CMakeFiles/dnnl_graph_utils.dir/id.cpp.o [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/io/zero_copy_stream_impl_lite.cc.o [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/io/zero_copy_stream_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc: In function ‘void gloo::{anonymous}::ring(const gloo::detail::AllreduceOptionsImpl&, ReduceRangeFunction, BroadcastRangeFunction)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:279:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 279 | for (auto i = 0; i < (numSegments - numSegmentsPerRank + 2); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allgather.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allgather.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allgather.cc:41:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/cpu_isa_traits.cpp.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_eltwise_list.cpp.o [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/bytestream.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:307:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 307 | if (i < (numSegments - numSegmentsPerRank)) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:315:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 315 | if (i < numSegmentsPerRank) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:362:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 362 | for (auto i = 0; i < (numSegments - numSegmentsPerRank + 2); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:379:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 379 | if (i < (numSegments - numSegmentsPerRank)) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:387:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 387 | if (i < numSegmentsPerRank) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:43:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allgatherv.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allgatherv.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allgatherv.cc:53:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:44:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:45:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:46:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:47:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:48:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc: In function ‘void gloo::{anonymous}::bcube(const gloo::detail::AllreduceOptionsImpl&, ReduceRangeFunction, BroadcastRangeFunction)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:527:15: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 527 | if (src == context->rank) { | ~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:540:15: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 540 | if (dst == context->rank) { | ~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:566:16: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 566 | if (peer == context->rank) { | ~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:583:15: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 583 | if (src == context->rank) { | ~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:613:15: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 613 | if (src == context->rank) { | ~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:633:15: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 633 | if (dst == context->rank) { | ~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:646:16: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 646 | if (peer == context->rank) { | ~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:656:16: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 656 | if (peer == context->rank) { | ~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:49:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:50:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Greater(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:108:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:126:29: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 126 | BINARY_COMP_HELPER(Greater, >) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:36:11: warning: ‘void* memcpy(void*, const void*, size_t)’ writing to an object of type ‘struct gloo::float16’ with no trivial copy-assignment; use copy-assignment or copy-initialization instead [-Wclass-memaccess] 36 | memcpy(ptrs_[i], ptrs_[0], bytes_); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:14, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/types.h:96:19: note: ‘struct gloo::float16’ declared here 96 | struct alignas(2) float16 { | ^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:215:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::GreaterEquals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:216:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:127:35: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 127 | BINARY_COMP_HELPER(GreaterEquals, >=) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:52:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc: In member function ‘virtual bool google::protobuf::io::StringOutputStream::Next(void**, int*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc:146:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 146 | if (old_size < target_->capacity()) { | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc:41: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc: In member function ‘virtual void google::protobuf::io::StringOutputStream::BackUp(int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:48: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:31: note: in expansion of macro ‘GOOGLE_CHECK’ 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc:175:3: note: in expansion of macro ‘GOOGLE_CHECK_LE’ 175 | GOOGLE_CHECK_LE(count, target_->size()); | ^~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/alltoallv.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/alltoallv.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/alltoallv.cc:52:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/loop.c.o [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/emitterutils.cpp.o [ 3%] Linking C static library ../../lib/libittnotify.a [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/common.cc.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/deconvolution.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_engine.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/environment.cpp.o [ 4%] Linking CXX shared library ../lib/libcaffe2_nvrtc.so [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/dnnl_debug.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/int128.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/dnnl_debug_autogenerated.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.cc:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h: In instantiation of ‘void google::protobuf::internal::ResetOneofField(const ParseTable&, int, google::protobuf::Arena*, google::protobuf::MessageLite*, google::protobuf::uint32*, google::protobuf::int64, const void*) [with ProcessingType field_type = google::protobuf::internal::ProcessingType_STRING; google::protobuf::uint32 = unsigned int; google::protobuf::int64 = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:510:49: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamInlined(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite; unsigned int kMaxTag = 127]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:858:73: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamImpl(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.cc:100:66: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:184:19: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 184 | if (*oneof_case == field_number) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h: In instantiation of ‘void google::protobuf::internal::ResetOneofField(const ParseTable&, int, google::protobuf::Arena*, google::protobuf::MessageLite*, google::protobuf::uint32*, google::protobuf::int64, const void*) [with ProcessingType field_type = google::protobuf::internal::ProcessingType_MESSAGE; google::protobuf::uint32 = unsigned int; google::protobuf::int64 = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:703:50: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamInlined(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite; unsigned int kMaxTag = 127]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:858:73: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamImpl(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.cc:100:66: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:184:19: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/message_lite.cc.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/context.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.cc:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h: In instantiation of ‘void google::protobuf::internal::ResetOneofField(const ParseTable&, int, google::protobuf::Arena*, google::protobuf::MessageLite*, google::protobuf::uint32*, google::protobuf::int64, const void*) [with ProcessingType field_type = google::protobuf::internal::ProcessingType_STRING; google::protobuf::uint32 = unsigned int; google::protobuf::int64 = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:510:49: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamInlined(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite; unsigned int kMaxTag = 127]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:858:73: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamImpl(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.cc:100:66: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:184:19: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 184 | if (*oneof_case == field_number) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h: In instantiation of ‘void google::protobuf::internal::ResetOneofField(const ParseTable&, int, google::protobuf::Arena*, google::protobuf::MessageLite*, google::protobuf::uint32*, google::protobuf::int64, const void*) [with ProcessingType field_type = google::protobuf::internal::ProcessingType_MESSAGE; google::protobuf::uint32 = unsigned int; google::protobuf::int64 = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:703:50: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamInlined(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite; unsigned int kMaxTag = 127]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:858:73: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamImpl(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.cc:100:66: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:184:19: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] [ 4%] Generating ATen sources [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/utils/CMakeFiles/dnnl_graph_utils.dir/pm/nested_matcher.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_layer_normalization_list.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/cpu_reducer.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_inner_product_list.cpp.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/gather.cc.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/formatter.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/func.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/dnnl_threadpool.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:60, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.cc: In member function ‘void** google::protobuf::internal::RepeatedPtrFieldBase::InternalExtend(int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:48: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:31: note: in expansion of macro ‘GOOGLE_CHECK’ 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.cc:61:3: note: in expansion of macro ‘GOOGLE_CHECK_LE’ 61 | GOOGLE_CHECK_LE(new_size, (std::numeric_limits::max() - kRepHeaderSize) / | ^~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/errorhandler.cpp.o [ 4%] Generating ATen declarations_yaml [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/status.cc.o [ 4%] Building C object sleef/src/libm/CMakeFiles/mkalias.dir/mkalias.c.o [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/CPUAllocator.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/broadcast.cc: In function ‘void gloo::broadcast(BroadcastOptions&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/broadcast.cc:92:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 92 | for (auto i = 0; i < numSends; i++) { | ~~^~~~~~~~~~ [ 4%] Built target ittnotify /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc: In member function ‘bool google::protobuf::MessageLite::SerializePartialToCodedStream(google::protobuf::io::CodedOutputStream*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:392:46: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 392 | if (final_byte_count - original_byte_count != size) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_lrn_list.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/eltwise.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc: In member function ‘bool google::protobuf::MessageLite::SerializePartialToArray(void*, int) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:491:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 491 | if (size < byte_size) return false; | ~~~~~^~~~~~~~~~~ [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/parse_context.cc.o [ 4%] Built target caffe2_nvrtc [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_pooling_list.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/repeated_field.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_prelu_list.cpp.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/pipe.c.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/utils/CMakeFiles/dnnl_graph_utils.dir/pm/pass_manager.cpp.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/gatherv.cc.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/bytestream.cc.o [ 4%] Linking C executable ../../bin/mkalias [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/common.cc.o [ 4%] Linking C static library ../../lib/libpthreadpool.a [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/reduce.cc.o In file included from /usr/include/string.h:548, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/port.h:39, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/macros.h:34, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:34: In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset 0 is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/poll.c.o [ 4%] Built target pthreadpool [ 4%] Built target mkalias [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/scatter.cc.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/funcargscontext.cpp.o In file included from /usr/include/string.h:548, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/port.h:39, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/macros.h:34, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/common.h:46, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.h:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:36: In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘google::protobuf::uint8* google::protobuf::io::EpsCopyOutputStream::WriteRaw(const void*, int, google::protobuf::uint8*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.h:699:16, inlined from ‘virtual google::protobuf::uint8* google::protobuf::internal::ImplicitWeakMessage::_InternalSerialize(google::protobuf::uint8*, google::protobuf::io::EpsCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/implicit_weak_message.h:85:28, inlined from ‘bool google::protobuf::MessageLite::SerializePartialToZeroCopyStream(google::protobuf::io::ZeroCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:419:30: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin___memcpy_chk(void*, const void*, long unsigned int, long unsigned int)’ specified size between 18446744071562067968 and 18446744073709551615 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/process.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-devurandom.c.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/globals.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc: In member function ‘virtual bool google::protobuf::io::StringOutputStream::Next(void**, int*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc:146:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 146 | if (old_size < target_->capacity()) { | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc: In member function ‘virtual void google::protobuf::strings::ArrayByteSource::Skip(size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:186:50: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 186 | #define GOOGLE_DCHECK_LE(A, B) GOOGLE_DCHECK((A) <= (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:181:48: note: in expansion of macro ‘GOOGLE_CHECK’ 181 | #define GOOGLE_DCHECK(EXPRESSION) while(false) GOOGLE_CHECK(EXPRESSION) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:186:32: note: in expansion of macro ‘GOOGLE_DCHECK’ 186 | #define GOOGLE_DCHECK_LE(A, B) GOOGLE_DCHECK((A) <= (B)) | ^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc:157:3: note: in expansion of macro ‘GOOGLE_DCHECK_LE’ 157 | GOOGLE_DCHECK_LE(n, input_.size()); | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc: In member function ‘virtual google::protobuf::StringPiece google::protobuf::strings::LimitByteSource::Peek()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc:177:20: warning: comparison of integer expressions of different signedness: ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (piece.size() > limit_) { | ~~~~~~~~~~~~~^~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc:41: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc: In member function ‘virtual void google::protobuf::io::StringOutputStream::BackUp(int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:48: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:31: note: in expansion of macro ‘GOOGLE_CHECK’ 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc:175:3: note: in expansion of macro ‘GOOGLE_CHECK_LE’ 175 | GOOGLE_CHECK_LE(count, target_->size()); | ^~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/types.cc.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/common/logging.cc.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 3] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_reduction_list.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_resampling_list.cpp.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/common/linux.cc.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/signal.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/int128.cc: In function ‘std::ostream& google::protobuf::operator<<(std::ostream&, const uint128&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/int128.cc:178:13: warning: comparison of integer expressions of different signedness: ‘std::streamsize’ {aka ‘long int’} and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 178 | if (width > rep.size()) { | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gather.cc: In function ‘void gloo::gather(GatherOptions&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gather.cc:36:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 36 | for (size_t i = 0; i < context->size; i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gather.cc:37:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 37 | if (i == context->rank) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gather.cc:50:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 50 | for (size_t i = 0; i < context->size; i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gather.cc:51:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 51 | if (i == context->rank) { | ~~^~~~~~~~~~~~~~~~ [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/stream.c.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/rendezvous/context.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/engine.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/inst.cpp.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 3] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/jitallocator.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/experimental.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/amx/jit_avx512_core_amx_copy_kern.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/jitruntime.cpp.o [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/CopyBytes.cpp.o [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/DefaultDtype.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc: In member function ‘bool google::protobuf::MessageLite::SerializePartialToCodedStream(google::protobuf::io::CodedOutputStream*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:392:46: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 392 | if (final_byte_count - original_byte_count != size) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc: In member function ‘bool google::protobuf::MessageLite::SerializePartialToArray(void*, int) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:491:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 491 | if (size < byte_size) return false; | ~~~~~^~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc: In member function ‘virtual void google::protobuf::strings::ArrayByteSource::Skip(size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:186:50: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 186 | #define GOOGLE_DCHECK_LE(A, B) GOOGLE_DCHECK((A) <= (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:181:48: note: in expansion of macro ‘GOOGLE_CHECK’ 181 | #define GOOGLE_DCHECK(EXPRESSION) while(false) GOOGLE_CHECK(EXPRESSION) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:186:32: note: in expansion of macro ‘GOOGLE_DCHECK’ 186 | #define GOOGLE_DCHECK_LE(A, B) GOOGLE_DCHECK((A) <= (B)) | ^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc:157:3: note: in expansion of macro ‘GOOGLE_DCHECK_LE’ 157 | GOOGLE_DCHECK_LE(n, input_.size()); | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc: In member function ‘virtual google::protobuf::StringPiece google::protobuf::strings::LimitByteSource::Peek()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc:177:20: warning: comparison of integer expressions of different signedness: ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (piece.size() > limit_) { | ~~~~~~~~~~~~~^~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/amx/jit_avx512_core_amx_gemm_kern.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:60, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.cc: In member function ‘void** google::protobuf::internal::RepeatedPtrFieldBase::InternalExtend(int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:48: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:31: note: in expansion of macro ‘GOOGLE_CHECK’ 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.cc:61:3: note: in expansion of macro ‘GOOGLE_CHECK_LE’ 61 | GOOGLE_CHECK_LE(new_size, (std::numeric_limits::max() - kRepHeaderSize) / | ^~~~~~~~~~~~~~~ In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 7] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/rendezvous/file_store.cc.o [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/Device.cpp.o [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/DeviceType.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/logger.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/internal.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/stream.c:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/stream.c: In function ‘uv__write_callbacks’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:68:19: warning: storing the address of local variable ‘pq’ in ‘((void * (**)[2])MEM[(void *[2] * *)stream_24(D) + 208B])[1]’ [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:78:7: note: in expansion of macro ‘QUEUE_SPLIT’ 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/stream.c:935:3: note: in expansion of macro ‘QUEUE_MOVE’ 935 | QUEUE_MOVE(&stream->write_completed_queue, &pq); | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/stream.c:930:9: note: ‘pq’ declared here 930 | QUEUE pq; | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:40:27: note: ‘((void * (**)[2])stream)[26]’ declared here 40 | ((const QUEUE *) (q) == (const QUEUE *) QUEUE_NEXT(q)) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/stream.c:932:7: note: in expansion of macro ‘QUEUE_EMPTY’ 932 | if (QUEUE_EMPTY(&stream->write_completed_queue)) | ^~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/backend.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc: In function ‘void gloo::reduce(ReduceOptions&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:171:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 171 | for (auto i = 0; i < numSegments; i++) { | ~~^~~~~~~~~~~~~ [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/operand.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:187:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 187 | if ((i - 2) < numSegmentsPerRank) { | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:199:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 199 | if (i < (numSegments - 2)) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:206:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 206 | if (i < numSegmentsPerRank) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:223:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 223 | for (size_t rank = 0; rank < context->size; rank++) { | ~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:224:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 224 | if (rank == context->rank) { | ~~~~~^~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.h:14, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:118:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::GreaterEquals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:119:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:127:35: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 127 | BINARY_COMP_HELPER(GreaterEquals, >=) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gatherv.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gatherv.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gatherv.cc:54:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/fpmath_mode.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/int128.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/gemm.cpp.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 7] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/osutils.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/statusor.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/utils/CMakeFiles/dnnl_graph_utils.dir/pm/pbuilder.cpp.o In file included from /usr/include/string.h:548, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/port.h:39, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/macros.h:34, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/common.h:46, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.h:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:36: In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘google::protobuf::uint8* google::protobuf::io::EpsCopyOutputStream::WriteRaw(const void*, int, google::protobuf::uint8*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.h:699:16, inlined from ‘virtual google::protobuf::uint8* google::protobuf::internal::ImplicitWeakMessage::_InternalSerialize(google::protobuf::uint8*, google::protobuf::io::EpsCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/implicit_weak_message.h:85:28, inlined from ‘bool google::protobuf::MessageLite::SerializePartialToZeroCopyStream(google::protobuf::io::ZeroCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:419:30: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin___memcpy_chk(void*, const void*, long unsigned int, long unsigned int)’ specified size between 18446744071562067968 and 18446744073709551615 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/tcp.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/thread.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc: In function ‘void gloo::scatter(ScatterOptions&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc:40:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 40 | for (size_t i = 0; i < context->size; i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc:41:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 41 | if (i == context->rank) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc:51:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 51 | for (size_t i = 0; i < context->size; i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc:52:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 52 | if (i == context->rank) { | ~~^~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.h:14, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc:31:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/ralocal.cpp.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 3] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/rendezvous/hash_store.cc.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/stringpiece.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/thread.c: In function ‘thread_stack_size’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/thread.c:195:24: warning: comparison of integer expressions of different signedness: ‘rlim_t’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 195 | if (lim.rlim_cur >= PTHREAD_STACK_MIN) | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/thread.c: In function ‘uv_thread_create_ex’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/thread.c:243:20: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 243 | if (stack_size < PTHREAD_STACK_MIN) | ^ [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/stringprintf.cc.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/structurally_valid.cc.o In file included from /usr/include/string.h:548, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/port.h:39, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/macros.h:34, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:34: In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset 0 is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/rendezvous/prefix_store.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc: In function ‘std::vector > gloo::pciDevices(PCIClassMatch)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc:97:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 97 | if (match.value != (pciGetClass(device) & match.mask)) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc: In function ‘int gloo::pciDistance(const std::string&, const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc:135:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 135 | if (prefixLength == partsA.size()) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc:139:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 139 | if (prefixLength == partsB.size()) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/tty.c.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 7] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/udp.c.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/status.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = long int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc:112:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const long int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/rapass.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/statusor.cc.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/rastack.cpp.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 3] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_rnn_list.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/int128.cc: In function ‘std::ostream& google::protobuf::operator<<(std::ostream&, const uint128&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/int128.cc:178:13: warning: comparison of integer expressions of different signedness: ‘std::streamsize’ {aka ‘long int’} and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 178 | if (width > rep.size()) { | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc: In member function ‘bool google::protobuf::StringPiece::contains(google::protobuf::StringPiece) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc:101:21: warning: comparison of integer expressions of different signedness: ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 101 | return find(s, 0) != npos; | ~~~~~~~~~~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc: In member function ‘google::protobuf::StringPiece google::protobuf::StringPiece::substr(size_type, size_type) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc:262:11: warning: comparison of integer expressions of different signedness: ‘google::protobuf::StringPiece::size_type’ {aka ‘long unsigned int’} and ‘const google::protobuf::stringpiece_ssize_type’ {aka ‘const long int’} [-Wsign-compare] 262 | if (pos > length_) pos = length_; | ~~~~^~~~~~~~~ [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/proctitle.c.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/utils/CMakeFiles/dnnl_graph_utils.dir/rw_mutex.cpp.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-core.c.o [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/DispatchKey.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/rendezvous/store.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/rendezvous/file_store.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/rendezvous/file_store.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Greater(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/rendezvous/file_store.cc:107:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:126:29: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 126 | BINARY_COMP_HELPER(Greater, >) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-inotify.c.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 3] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/utils/CMakeFiles/dnnl_graph_utils.dir/utils.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/stringpiece.cc.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/stringprintf.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/utils/CMakeFiles/dnnl_graph_utils.dir/verbose.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_gemm_bf16bf16f32_kern.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringprintf.cc: In function ‘std::string google::protobuf::StringPrintfVector(const char*, const std::vector >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringprintf.cc:153:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (int i = 0; i < v.size(); ++i) { | ~~^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringprintf.cc:156:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 156 | for (int i = v.size(); i < GOOGLE_ARRAYSIZE(cstr); ++i) { [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_shuffle_list.cpp.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 7] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/DispatchKeySet.cpp.o [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/GeneratorImpl.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/internal.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/linux-inotify.c:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/linux-inotify.c: In function ‘uv__inotify_fork’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:68:19: warning: storing the address of local variable ‘queue’ in ‘((void * (**)[2])MEM[(void *[2] * *)&tmp_watcher_list + 32B])[1]’ [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:78:7: note: in expansion of macro ‘QUEUE_SPLIT’ 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/linux-inotify.c:133:5: note: in expansion of macro ‘QUEUE_MOVE’ 133 | QUEUE_MOVE(&tmp_watcher_list.watchers, &queue); | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/linux-inotify.c:92:9: note: ‘queue’ declared here 92 | QUEUE queue; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:40:27: note: ‘*(void * (**)[2])((char *)&tmp_watcher_list + offsetof(struct watcher_list, watchers[0]))’ declared here 40 | ((const QUEUE *) (q) == (const QUEUE *) QUEUE_NEXT(q)) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:74:9: note: in expansion of macro ‘QUEUE_EMPTY’ 74 | if (QUEUE_EMPTY(h)) \ | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/linux-inotify.c:133:5: note: in expansion of macro ‘QUEUE_MOVE’ 133 | QUEUE_MOVE(&tmp_watcher_list.watchers, &queue); | ^~~~~~~~~~ [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/structurally_valid.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_gemv_bf16bf16f32_kern.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/strutil.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_24x8_copy_an_kern_autogen.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/strutil.cc.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/time.cc.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 7] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-syscalls.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/procfs-exepath.c.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/time.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc: In member function ‘bool google::protobuf::StringPiece::contains(google::protobuf::StringPiece) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc:101:21: warning: comparison of integer expressions of different signedness: ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 101 | return find(s, 0) != npos; | ~~~~~~~~~~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc: In member function ‘google::protobuf::StringPiece google::protobuf::StringPiece::substr(size_type, size_type) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc:262:11: warning: comparison of integer expressions of different signedness: ‘google::protobuf::StringPiece::size_type’ {aka ‘long unsigned int’} and ‘const google::protobuf::stringpiece_ssize_type’ {aka ‘const long int’} [-Wsign-compare] 262 | if (pos > length_) pos = length_; | ~~~~^~~~~~~~~ [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-getrandom.c.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/wire_format_lite.cc.o [ 4%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_api.dir/src/libkineto_api.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_24x8_copy_at_kern_autogen.cpp.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 3] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_24x8_copy_bn_kern_autogen.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/wire_format_lite.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringprintf.cc: In function ‘std::string google::protobuf::StringPrintfVector(const char*, const std::vector >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringprintf.cc:153:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (int i = 0; i < v.size(); ++i) { | ~~^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringprintf.cc:156:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 156 | for (int i = v.size(); i < GOOGLE_ARRAYSIZE(cstr); ++i) { [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_24x8_copy_bt_kern_autogen.cpp.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-sysctl-linux.c.o [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/GradMode.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_48x8_copy_an_kern_autogen.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_48x8_copy_at_kern_autogen.cpp.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/rendezvous/store.cc.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 7] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/address.cc.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/buffer.cc.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/context.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_48x8_copy_bn_kern_autogen.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.hpp:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:19: In member function ‘bool Xbyak::Operand::is(int, uint32_t) const’, inlined from ‘bool Xbyak::Operand::isMEM(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:578:59, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:11, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:618:39: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 618 | return (kind == 0 || (kind_ & kind)) && (bit == 0 || (bit_ & bit)); // cf. you can set (8|16) | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Operand::is(int, uint32_t) const’, inlined from ‘bool Xbyak::Operand::isMEM(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:578:59, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:26, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:618:39: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 618 | return (kind == 0 || (kind_ & kind)) && (bit == 0 || (bit_ & bit)); // cf. you can set (8|16) | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:16, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:32, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:30: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:30: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:53: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:53: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Operand::is(int, uint32_t) const’, inlined from ‘bool Xbyak::Operand::isMEM(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:578:59, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:11, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:618:39: warning: array subscript 2 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 618 | return (kind == 0 || (kind_ & kind)) && (bit == 0 || (bit_ & bit)); // cf. you can set (8|16) | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Operand::is(int, uint32_t) const’, inlined from ‘bool Xbyak::Operand::isMEM(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:578:59, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:26, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:618:39: warning: array subscript 2 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 618 | return (kind == 0 || (kind_ & kind)) && (bit == 0 || (bit_ & bit)); // cf. you can set (8|16) | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:16, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 2 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:32, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 2 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:30: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:30: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:53: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:53: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Operand::is(int, uint32_t) const’, inlined from ‘bool Xbyak::Operand::isMEM(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:578:59, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:11, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:618:39: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 618 | return (kind == 0 || (kind_ & kind)) && (bit == 0 || (bit_ & bit)); // cf. you can set (8|16) | ^~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.hpp:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Operand::is(int, uint32_t) const’, inlined from ‘bool Xbyak::Operand::isMEM(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:578:59, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:26, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:618:39: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 618 | return (kind == 0 || (kind_ & kind)) && (bit == 0 || (bit_ & bit)); // cf. you can set (8|16) | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:16, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:32, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:30: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:30: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:53: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:53: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/constant_cache.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2159:11, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2148:7, inlined from ‘void Xbyak::CodeGenerator::push(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2603:42, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:47:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:34:18: note: object ‘reg_tmp’ of size 8 34 | Xbyak::Reg64 reg_tmp = [&]() { | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2159:11, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2148:7, inlined from ‘void Xbyak::CodeGenerator::push(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2603:42, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:51:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:34:18: note: object ‘reg_tmp’ of size 8 34 | Xbyak::Reg64 reg_tmp = [&]() { | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2110:10, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2107:7, inlined from ‘void Xbyak::CodeGenerator::cmp(const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:143:59, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:57:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:29:65: note: object ‘reg_nthr’ of size 8 29 | jit_generator &code, Xbyak::Reg64 reg_ctx, Xbyak::Reg64 reg_nthr) { | ~~~~~~~~~~~~~^~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opModRM(const Xbyak::Operand&, const Xbyak::Operand&, bool, bool, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2095:10, inlined from ‘void Xbyak::CodeGenerator::opModRM(const Xbyak::Operand&, const Xbyak::Operand&, bool, bool, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2090:7, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2112:11, inlined from ‘void Xbyak::CodeGenerator::cmp(const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:143:59, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:57:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:34:18: note: object ‘reg_tmp’ of size 8 34 | Xbyak::Reg64 reg_tmp = [&]() { | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2159:11, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2148:7, inlined from ‘void Xbyak::CodeGenerator::pop(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2604:41, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:58:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:34:18: note: object ‘reg_tmp’ of size 8 34 | Xbyak::Reg64 reg_tmp = [&]() { | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opR_ModM(const Xbyak::Operand&, int, int, int, int, int, bool, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2074:10, inlined from ‘void Xbyak::CodeGenerator::not_(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:600:40, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:65:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:34:18: note: object ‘reg_tmp’ of size 8 34 | Xbyak::Reg64 reg_tmp = [&]() { | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2159:11, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2148:7, inlined from ‘void Xbyak::CodeGenerator::pop(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2604:41, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:76:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:34:18: note: object ‘reg_tmp’ of size 8 34 | Xbyak::Reg64 reg_tmp = [&]() { | ^~~~~~~ [ 4%] Linking C static library ../../../lib/libtensorpipe_uv.a [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/string.cpp.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/device.cc.o [ 4%] Built target tensorpipe_uv [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/pair.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc: In function ‘void google::protobuf::CEscapeAndAppend(StringPiece, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc:564:19: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 564 | if (escaped_len == src.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc: In function ‘void google::protobuf::CEscapeAndAppend(StringPiece, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc:564:19: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 564 | if (escaped_len == src.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc: In function ‘int google::protobuf::memcasecmp(const char*, const char*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc:1293:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1293 | for ( int i = 0; i < len; i++ ) { | ~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc: In function ‘int google::protobuf::memcasecmp(const char*, const char*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc:1293:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1293 | for ( int i = 0; i < len; i++ ) { | ~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc: In function ‘int google::protobuf::GlobalReplaceSubstring(const std::string&, const std::string&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc:1628:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1628 | match_pos != string::npos; | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc: In function ‘int google::protobuf::GlobalReplaceSubstring(const std::string&, const std::string&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc:1628:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1628 | match_pos != string::npos; | ~~~~~~~~~~^~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_softmax_list.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_sum.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/any.cc.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/unbound_buffer.cc.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/address.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/engine.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/any.pb.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/graph.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/dnnl_backend.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_48x8_copy_bt_kern_autogen.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx2_f32_copy_an_kern_autogen.cpp.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/buffer.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx2_f32_copy_at_kern_autogen.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/float16.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx2_f32_copy_bn_kern_autogen.cpp.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/context.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx2_f32_copy_bt_kern_autogen.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx2_kernel_sgemm_kern.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/inner_product.cpp.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/device.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/ittnotify.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx512_common_gemm_f32.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx512_core_f32_copy_an_kern_autogen.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/support.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/target.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/type.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/virtmem.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/zone.cpp.o Compiling proxy.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/proxy.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/loop.cc.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/pair.cc.o [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/InferenceMode.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/layer_normalization.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/lrn.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/zonehash.cpp.o [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/SafePyObject.cpp.o [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/Scalar.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/matmul.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/memory.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/memory_debug.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/api.pb.cc.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/compiler/importer.cc.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/zonelist.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/zonestack.cpp.o [ 4%] Linking CXX static library ../../../lib/libprotobuf-lite.a [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/compiler/parser.cc.o [ 4%] Built target kineto_api [ 4%] Built target libprotobuf-lite [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/zonetree.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/zonevector.cpp.o [ 4%] Generating include/renameavx512f.h [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/descriptor.cc.o Generating renameavx512f.h: mkrename finz_ 8 16 avx512f [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/unbound_buffer.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/memory_desc_wrapper.cpp.o [ 4%] Linking CXX static library ../../lib/libfmt.a [ 4%] Built target renameAVX512F.h_generated [ 4%] Generating include/renameavx2.h [ 4%] Generating include/renameavx2128.h [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/descriptor.pb.cc.o Generating renameavx2.h: mkrename finz_ 4 8 avx2 Generating renameavx2128.h: mkrename finz_ 2 4 avx2128 [ 4%] Built target renameAVX2.h_generated [ 4%] Built target renameAVX2128.h_generated [ 4%] Built target fmt [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/descriptor_database.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/logical_tensor.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/memory_storage.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/memory_tracking.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/op.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/memory_zero_pad.cpp.o [ 4%] Generating include/renamefma4.h Generating renamefma4.h: mkrename finz_ 4 8 fma4 [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_convolution.cpp.o [ 4%] Built target renameFMA4.h_generated [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/op_schema.cpp.o [ 4%] Generating include/renameavx.h [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/Storage.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/partition.cpp.o Generating renameavx.h: mkrename cinz_ 4 8 avx [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/armformatter.cpp.o [ 4%] Built target renameAVX.h_generated [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/StorageImpl.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_convolution_utils.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/partition_cache.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/importer.cc: In function ‘std::string google::protobuf::compiler::CanonicalizePath(std::string)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/importer.cc:293:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 293 | for (int i = 0; i < parts.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/importer.cc: In member function ‘google::protobuf::compiler::DiskSourceTree::DiskFileToVirtualFileResult google::protobuf::compiler::DiskSourceTree::DiskFileToVirtualFile(const std::string&, std::string*, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/importer.cc:401:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 401 | for (int i = 0; i < mappings_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/importer.cc: In member function ‘google::protobuf::io::ZeroCopyInputStream* google::protobuf::compiler::DiskSourceTree::OpenVirtualFile(const std::string&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/importer.cc:467:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 467 | for (int i = 0; i < mappings_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/Stream.cpp.o [ 4%] Generating include/renamesse4.h Generating renamesse4.h: mkrename cinz_ 2 4 sse4 [ 4%] Built target renameSSE4.h_generated [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_inner_product.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc: In function ‘std::string google::protobuf::compiler::{anonymous}::MapEntryName(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc:99:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 99 | for (int i = 0; i < field_name.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc: In function ‘bool google::protobuf::compiler::{anonymous}::IsUpperCamelCase(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc:133:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 133 | for (int i = 1; i < name.length(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc: In function ‘bool google::protobuf::compiler::{anonymous}::IsUpperUnderscore(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc:142:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (int i = 0; i < name.length(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc: In function ‘bool google::protobuf::compiler::{anonymous}::IsLowerUnderscore(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc:152:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 152 | for (int i = 0; i < name.length(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc: In function ‘bool google::protobuf::compiler::{anonymous}::IsNumberFollowUnderscore(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc:162:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 162 | for (int i = 1; i < name.length(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc: In member function ‘void google::protobuf::compiler::Parser::LocationRecorder::AttachComments(std::string*, std::string*, std::vector >*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc:505:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 505 | for (int i = 0; i < detached_comments->size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/duration.pb.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘std::string google::protobuf::{anonymous}::ToCamelCase(const std::string&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:257:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 257 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘std::string google::protobuf::{anonymous}::ToJsonName(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:281:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 281 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘std::string google::protobuf::{anonymous}::EnumValueToPascalCase(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:300:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 300 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘std::string google::protobuf::{anonymous}::PrefixRemover::MaybeRemove(google::protobuf::StringPiece)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:344:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 344 | for (i = 0, j = 0; i < str.size() && j < prefix_.size(); i++) { | ~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:361:14: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 361 | while (i < str.size() && str[i] == '_') { | ~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:366:11: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 366 | if (i == str.size()) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘std::set >* google::protobuf::{anonymous}::NewAllowedProto3Extendee()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:474:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 474 | for (int i = 0; i < GOOGLE_ARRAYSIZE(kOptionNames); ++i) { [ 4%] Built target dnnl_graph_utils [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/dynamic_message.cc.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64assembler.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc: In member function ‘virtual bool google::protobuf::DescriptorPoolDatabase::FindAllExtensionNumbers(const std::string&, std::vector*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc:937:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 937 | for (int i = 0; i < extensions.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc: In member function ‘virtual bool google::protobuf::MergedDescriptorDatabase::FindFileByName(const std::string&, google::protobuf::FileDescriptorProto*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc:958:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 958 | for (int i = 0; i < sources_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc: In member function ‘virtual bool google::protobuf::MergedDescriptorDatabase::FindFileContainingSymbol(const std::string&, google::protobuf::FileDescriptorProto*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc:968:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 968 | for (int i = 0; i < sources_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc: In member function ‘virtual bool google::protobuf::MergedDescriptorDatabase::FindFileContainingExtension(const std::string&, int, google::protobuf::FileDescriptorProto*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc:990:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 990 | for (int i = 0; i < sources_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc: In member function ‘virtual bool google::protobuf::MergedDescriptorDatabase::FindAllExtensionNumbers(const std::string&, std::vector*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc:1016:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1016 | for (int i = 0; i < sources_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_inner_product_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘void google::protobuf::DescriptorPool::Tables::RollbackToLastCheckpoint()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:859:10: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 859 | i < symbols_after_checkpoint_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:863:10: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 863 | i < files_after_checkpoint_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:867:10: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 867 | i < extensions_after_checkpoint_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/pooling.cpp.o [ 4%] Built target dnnl_graph_backend_fake [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_x8s8s32x_conv_zp_src_pad_comp.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘void google::protobuf::DescriptorPool::FindAllExtensions(const google::protobuf::Descriptor*, std::vector*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:1574:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1574 | for (int i = 0; i < numbers.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘bool google::protobuf::{anonymous}::RetrieveOptionsAssumingRightPool(int, const google::protobuf::Message&, std::vector >*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:2282:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2282 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_x8s8s32x_convolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘bool google::protobuf::{anonymous}::FormatLineOptions(int, const google::protobuf::Message&, const google::protobuf::DescriptorPool*, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:2366:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2366 | for (int i = 0; i < all_options.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘void google::protobuf::{anonymous}::SourceLocationCommentPrinter::AddPreComment(std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:2398:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2398 | for (int i = 0; i < source_loc_.leading_detached_comments.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘std::string google::protobuf::{anonymous}::SourceLocationCommentPrinter::FormatComment(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:2421:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2421 | for (int i = 0; i < lines.size(); ++i) { | ~~^~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_x8s8s32x_convolution_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘void google::protobuf::DescriptorBuilder::ValidateSymbolName(const std::string&, const std::string&, const google::protobuf::Message&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:4098:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 4098 | for (int i = 0; i < name.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘void google::protobuf::DescriptorBuilder::AddRecursiveImportError(const google::protobuf::FileDescriptorProto&, int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:4208:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 4208 | for (int i = from_here; i < tables_->pending_files_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:4214:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 4214 | if (from_here < tables_->pending_files_.size() - 1) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘const google::protobuf::FileDescriptor* google::protobuf::DescriptorBuilder::BuildFile(const google::protobuf::FileDescriptorProto&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:4287:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 4287 | for (int i = 0; i < tables_->pending_files_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_x8s8s32x_inner_product.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘std::string google::protobuf::ToLowercaseWithoutUnderscores(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:5945:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 5945 | for (int i = 0; i < name.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/dnnl_shape_infer.cpp.o [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/SymBool.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘void google::protobuf::DescriptorBuilder::OptionInterpreter::UpdateSourceCodeInfo(google::protobuf::SourceCodeInfo*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:6707:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 6707 | if (loc->path_size() < pathv.size()) { | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:6710:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 6710 | for (int j = 0; j < pathv.size(); j++) { | ~~^~~~~~~~~~~~~~ Compiling net.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/net.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/fusion_info.cpp.o [ 5%] Generating include/renamesse2.h Generating renamesse2.h: mkrename cinz_ 2 4 sse2 [ 5%] Built target renameSSE2.h_generated [ 5%] Generating include/renamepurec_scalar.h Generating renamepurec_scalar.h: mkrename cinz_ 1 1 purec [ 5%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64builder.cpp.o [ 5%] Built target renamePUREC_SCALAR.h_generated [ 5%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64compiler.cpp.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/layout_propagator.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/brgemm_types.hpp:22, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/brgemm.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp:24: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2110:10, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2107:7, inlined from ‘void Xbyak::CodeGenerator::add(const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:51:59, inlined from ‘void dnnl::impl::cpu::x64::jit_brgemm_amx_uker_base_t::bf32_downconvert(int, int, reg64_t, int, reg64_t, reg64_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp:1247:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_brgemm_amx_uker_base_t::reg64_t [1]’ {aka ‘const Xbyak::Reg64 [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_brgemm_amx_uker_base_t::bf32_downconvert(int, int, reg64_t, int, reg64_t, reg64_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp:1211:17: note: object ‘reg_data_stride’ of size 8 1211 | reg64_t reg_data_stride, reg64_t reg_buf, bool is_rd_tail) { | ~~~~~~~~^~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opModRM(const Xbyak::Operand&, const Xbyak::Operand&, bool, bool, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2095:10, inlined from ‘void Xbyak::CodeGenerator::opModRM(const Xbyak::Operand&, const Xbyak::Operand&, bool, bool, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2090:7, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2112:11, inlined from ‘void Xbyak::CodeGenerator::add(const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:51:59, inlined from ‘void dnnl::impl::cpu::x64::jit_brgemm_amx_uker_base_t::bf32_downconvert(int, int, reg64_t, int, reg64_t, reg64_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp:1247:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_brgemm_amx_uker_base_t::bf32_downconvert(int, int, reg64_t, int, reg64_t, reg64_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp:1230:16: note: object ‘reg_data_aux’ of size 8 1230 | const auto reg_data_aux = reg_tmp_gpr; | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/dynamic_message.cc: In destructor ‘virtual google::protobuf::DynamicMessage::~DynamicMessage()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/dynamic_message.cc:510:57: warning: comparison of integer expressions of different signedness: ‘const google::protobuf::uint32’ {aka ‘const unsigned int’} and ‘int’ [-Wsign-compare] 510 | if (*(reinterpret_cast(field_ptr)) == field->number()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ [ 5%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/op_executable.cpp.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/prelu.cpp.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/subgraph.cpp.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/partition_hashing.cpp.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/partition_impl.cpp.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/shape_infer.cpp.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/compile_ops.cpp.o [ 5%] Building CXX object c10/CMakeFiles/c10.dir/core/SymFloat.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx512_core_f32_copy_at_kern_part1_autogen.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx512_core_f32_copy_at_kern_part2_autogen.cpp.o [ 6%] Linking CXX static library ../../../lib/libgloo.a [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx512_core_f32_copy_bn_kern_autogen.cpp.o [ 6%] Built target gloo [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/primitive.cpp.o [ 6%] Generating include/renamepurecfma_scalar.h Generating renamepurecfma_scalar.h: mkrename finz_ 1 1 purecfma [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/primitive_attr.cpp.o [ 6%] Built target renamePURECFMA_SCALAR.h_generated [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/primitive_cache.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/constant_propagation.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/insert_ops.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/layout_propagation.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/primitive_desc.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/lower.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx512_core_f32_copy_bt_kern_autogen.cpp.o [ 6%] Building CXX object c10/CMakeFiles/c10.dir/core/SymInt.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx512_core_gemm_smalln_tn_f32_kern.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/memory_planning.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/nchw_pooling.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/stream.cpp.o Compiling misc/cudawrap.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/cudawrap.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ncsp_batch_normalization.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/nhwc_pooling.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/tensor.cpp.o Compiling enhcompat.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/enhcompat.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/primitive_desc_iface.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/type_constraint.cpp.o Compiling misc/ibvwrap.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/ibvwrap.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_f32_copy_an_kern_autogen.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_f32_copy_at_kern_autogen.cpp.o [ 6%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/empty.pb.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/dnnl_thread.hpp:24, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/gemm_inner_product.cpp:18: In function ‘void dnnl::impl::utils::array_copy(T*, const T*, size_t) [with T = long int]’, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_blocking_desc(memory_desc_t&, const blocking_desc_t&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:789:22, inlined from ‘dnnl::impl::cpu::{anonymous}::transpose_md(dnnl::impl::memory_desc_t&)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_inner_product_pd.hpp:104:42: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:202:16: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ specified bound between 18446744056529682432 and 18446744073709551608 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 202 | dst[i] = src[i]; | ~~~~~~~^~~~~~ In function ‘void dnnl::impl::utils::array_copy(T*, const T*, size_t) [with T = long int]’, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_blocking_desc(memory_desc_t&, const blocking_desc_t&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:792:22, inlined from ‘dnnl::impl::cpu::{anonymous}::transpose_md(dnnl::impl::memory_desc_t&)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_inner_product_pd.hpp:104:42: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:202:16: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ specified bound between 18446744056529682432 and 18446744073709551608 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 202 | dst[i] = src[i]; | ~~~~~~~^~~~~~ [ 6%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/extension_set_heavy.cc.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/primitive_desc_iterator.cpp.o [ 6%] Building CXX object 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third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/primitive_iface.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_f32_copy_bn_kern_autogen.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/value.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_f32_copy_bt_kern_autogen.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_gemm_f32.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/query.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/primitive_attr_postops.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/reduction.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_batch_normalization.cpp.o [ 6%] Building CXX object c10/CMakeFiles/c10.dir/core/TensorImpl.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_binary.cpp.o [ 6%] Building CXX object c10/CMakeFiles/c10.dir/core/TensorOptions.cpp.o Compiling misc/socket.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/socket.o [ 6%] Building CXX object c10/CMakeFiles/c10.dir/core/UndefinedTensorImpl.cpp.o [ 6%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/field_mask.pb.cc.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/reorder.cpp.o [ 6%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/generated_message_reflection.cc.o [ 6%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64formatter.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_convolution.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_convolution_int8.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/resampling.cpp.o [ 6%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64func.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/utils.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_deconvolution.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_eltwise.cpp.o [ 6%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/generated_message_table_driven.cc.o Compiling misc/argcheck.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/argcheck.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/rnn.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/rw_mutex.cpp.o [ 7%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64instapi.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.cpp:17: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2256:101, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/scratchpad.cpp.o [ 7%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/io/gzip_stream.cc.o [ 7%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64instdb.cpp.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/scratchpad_debug.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc: In member function ‘void google::protobuf::Reflection::ClearField(google::protobuf::Message*, const google::protobuf::FieldDescriptor*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:857:42: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 857 | if (schema_.HasBitIndex(field) == -1) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc: In member function ‘void google::protobuf::Reflection::ListFieldsMayFailOnStripped(const google::protobuf::Message&, bool, std::vector*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:1082:57: warning: comparison of integer expressions of different signedness: ‘const google::protobuf::uint32’ {aka ‘const unsigned int’} and ‘int’ [-Wsign-compare] 1082 | if (oneof_case_array[containing_oneof->index()] == field->number()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:1085:50: warning: comparison of integer expressions of different signedness: ‘const google::protobuf::uint32’ {aka ‘const unsigned int’} and ‘int’ [-Wsign-compare] 1085 | } else if (has_bits && has_bits_indices[i] != -1) { | ~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc: In member function ‘bool google::protobuf::Reflection::HasBit(const google::protobuf::Message&, const google::protobuf::FieldDescriptor*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:1975:34: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 1975 | if (schema_.HasBitIndex(field) != -1) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ [ 7%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64operand.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc: In member function ‘void google::protobuf::Reflection::SetBit(google::protobuf::Message*, const google::protobuf::FieldDescriptor*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:2039:13: warning: comparison of integer expressions of different signedness: ‘const google::protobuf::uint32’ {aka ‘const unsigned int’} and ‘int’ [-Wsign-compare] 2039 | if (index == -1) return; | ~~~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc: In member function ‘void google::protobuf::Reflection::ClearBit(google::protobuf::Message*, const google::protobuf::FieldDescriptor*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:2051:13: warning: comparison of integer expressions of different signedness: ‘const google::protobuf::uint32’ {aka ‘const unsigned int’} and ‘int’ [-Wsign-compare] 2051 | if (index == -1) return; | ~~~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc: In member function ‘bool google::protobuf::Reflection::HasOneofField(const google::protobuf::Message&, const google::protobuf::FieldDescriptor*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:2085:60: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 2085 | return (GetOneofCase(message, field->containing_oneof()) == field->number()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ [ 7%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64rapass.cpp.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_inner_product.cpp.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_inner_product_int8.cpp.o [ 7%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/io/printer.cc.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/serialization.cpp.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/shuffle.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven.cc:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h: In instantiation of ‘void google::protobuf::internal::ResetOneofField(const ParseTable&, int, google::protobuf::Arena*, google::protobuf::MessageLite*, google::protobuf::uint32*, google::protobuf::int64, const void*) [with ProcessingType field_type = google::protobuf::internal::ProcessingType_STRING; google::protobuf::uint32 = unsigned int; google::protobuf::int64 = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:510:49: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamInlined(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandler; unsigned int kMaxTag = 127]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:858:73: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamImpl(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandler]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven.cc:97:62: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:184:19: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 184 | if (*oneof_case == field_number) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h: In instantiation of ‘void google::protobuf::internal::ResetOneofField(const ParseTable&, int, google::protobuf::Arena*, google::protobuf::MessageLite*, google::protobuf::uint32*, google::protobuf::int64, const void*) [with ProcessingType field_type = google::protobuf::internal::ProcessingType_MESSAGE; google::protobuf::uint32 = unsigned int; google::protobuf::int64 = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:703:50: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamInlined(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandler; unsigned int kMaxTag = 127]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:858:73: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamImpl(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandler]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven.cc:97:62: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:184:19: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/softmax.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_gemv_t_f32_kern.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_kernel_b0_sgemm_kern_part1_autogen.cpp.o [ 8%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/io/tokenizer.cc.o In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2256:101, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_kernel_b0_sgemm_kern_part2_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.cc: In member function ‘void google::protobuf::io::Printer::FormatInternal(const std::vector >&, const std::map, std::__cxx11::basic_string >&, const char*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.cc:299:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 299 | if (arg_index != args.size()) { | ~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.cc: In member function ‘const char* google::protobuf::io::Printer::WriteVariable(const std::vector >&, const std::map, std::__cxx11::basic_string >&, const char*, int*, std::vector, std::__cxx11::basic_string > >*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.cc:327:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 327 | if (idx < 0 || idx >= args.size()) { | ~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.cc:364:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 364 | if (idx >= args.size()) { | ~~~~^~~~~~~~~~~~~~ [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_kernel_sgemm_kern_part1_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc: In static member function ‘static bool google::protobuf::io::Tokenizer::ParseInteger(const std::string&, google::protobuf::uint64, google::protobuf::uint64*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc:891:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘google::protobuf::uint64’ {aka ‘long unsigned int’} [-Wsign-compare] 891 | if (digit > max_value || result > (max_value - digit) / base) { | ~~~~~~^~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.h:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc:91: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc: In static member function ‘static double google::protobuf::io::Tokenizer::ParseFloat(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc:921:37: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 921 | GOOGLE_LOG_IF(DFATAL, end - start != text.size() || *start == '-') | ~~~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ [ 8%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/binary_fusion.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc: In instantiation of ‘bool google::protobuf::io::AllInClass(const std::string&) [with CharacterClass = {anonymous}::Alphanumeric; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc:1126:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc:1116:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1116 | for (int i = 0; i < s.size(); ++i) { | ~~^~~~~~~~~~ [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_kernel_sgemm_kern_part2_autogen.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/stream.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_layer_normalization.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/sum.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/verbose.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/utils.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_sse41_f32_copy_an_kern_autogen.cpp.o [ 8%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/map_field.cc.o Compiling misc/strongstream.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/strongstream.o [ 8%] Building C object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/ittnotify/ittnotify_static.c.o In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building C object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/ittnotify/jitprofiling.c.o [ 8%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/message.cc.o [ 8%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86assembler.cpp.o Compiling transport/shm.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/transport/shm.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_lrn.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_pooling.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_prelu.cpp.o [ 8%] Building ASM object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/ittnotify/ittptmark64.S.o In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Generating renamedsp128.h [ 8%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86builder.cpp.o [ 8%] Built target renamedsp128.h_generated [ 8%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/reflection_ops.cc.o [ 8%] Building C object sleef/src/libm/CMakeFiles/mkdisp.dir/mkdisp.c.o [ 8%] Generating renamedsp256.h [ 8%] Built target renamedsp256.h_generated [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_sse41_f32_copy_at_kern_autogen.cpp.o [ 8%] Linking C executable ../../bin/mkdisp [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_sse41_f32_copy_bn_kern_autogen.cpp.o [ 8%] Built target mkdisp [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_sse41_f32_copy_bt_kern_autogen.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/bn_fusion.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_sse41_gemv_t_f32_kern.cpp.o In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_sse41_kernel_b0_sgemm_kern_autogen.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_reduction.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc: In static member function ‘static void google::protobuf::internal::ReflectionOps::Merge(const google::protobuf::Message&, google::protobuf::Message*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc:89:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 89 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc: In static member function ‘static void google::protobuf::internal::ReflectionOps::Clear(google::protobuf::Message*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc:184:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 184 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc: In static member function ‘static bool google::protobuf::internal::ReflectionOps::IsInitialized(const google::protobuf::Message&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc:274:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc: In static member function ‘static void google::protobuf::internal::ReflectionOps::DiscardUnknownFields(google::protobuf::Message*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc:333:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 333 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc: In static member function ‘static void google::protobuf::internal::ReflectionOps::FindInitializationErrors(const google::protobuf::Message&, const std::string&, std::vector >*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc:405:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ [ 8%] Building CXX object c10/CMakeFiles/c10.dir/core/WrapDimMinimal.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/concat_fusion.cpp.o Compiling transport/net.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/transport/net.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/conv_block_fusion.cpp.o [ 8%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/DeviceGuardImplInterface.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_resampling.cpp.o [ 8%] Building C object caffe2/CMakeFiles/torch_global_deps.dir/__/torch/csrc/empty.c.o In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Linking C shared library ../lib/libtorch_global_deps.so [ 8%] Built target torch_global_deps [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_shuffle.cpp.o [ 8%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/service.cc.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_softmax.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/conv_post_ops_fusion.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/convtranspose_fusion.cpp.o [ 8%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86compiler.cpp.o [ 8%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/GPUTrace.cpp.o [ 8%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/source_context.pb.cc.o In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2256:101, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/struct.pb.cc.o [ 8%] Built target python_copy_files [ 8%] Building C object sleef/src/libm/CMakeFiles/mkrename_gnuabi.dir/mkrename_gnuabi.c.o [ 8%] Building C object sleef/src/libm/CMakeFiles/mkmasked_gnuabi.dir/mkmasked_gnuabi.c.o [ 8%] Linking C executable ../../bin/mkrename_gnuabi [ 8%] Built target mkrename_gnuabi [ 8%] Linking C executable ../../bin/mkmasked_gnuabi [ 8%] Building C object sleef/src/common/CMakeFiles/arraymap.dir/arraymap.c.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/simple_concat.cpp.o [ 8%] Built target mkmasked_gnuabi [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/simple_layer_normalization.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_sse41_kernel_sgemm_kern_autogen.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:31: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: at offset 16 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: at offset 16 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: at offset 16 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: at offset 16 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ [ 8%] Built target arraymap [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/gemm_driver.cpp.o [ 8%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/HermeticPyObjectTLS.cpp.o [ 8%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/LocalDispatchKeySet.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/gemm_info.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/gemm_pack.cpp.o [ 8%] Building C object sleef/src/common/CMakeFiles/addSuffix.dir/addSuffix.c.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/simple_resampling.cpp.o [ 8%] Linking C executable ../../bin/addSuffix [ 8%] Built target addSuffix [ 8%] Built target dnnl_graph_common [ 8%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/eltwise_fusion.cpp.o [ 8%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/PyInterpreter.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/interpolate_fusion.cpp.o [ 8%] Generating /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/Functions.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/VariableType_0.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/VariableType_1.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/VariableType_2.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/VariableType_3.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/VariableType_4.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/TraceType_0.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/TraceType_1.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/TraceType_2.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/TraceType_3.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/TraceType_4.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/ADInplaceOrViewType_0.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/ADInplaceOrViewType_1.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/generated/LazyNativeFunctions.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/generated/RegisterAutogradLazy.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/generated/RegisterLazy.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/Functions.h, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/variable_factories.h, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/VariableType.h, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/generated/LazyIr.h, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/generated/LazyNonNativeIr.h, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/generated/LazyNativeFunctions.h, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_functions_0.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_functions_1.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_functions_2.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_functions_3.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_functions_4.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_variable_methods.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_torch_functions_0.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_torch_functions_1.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_torch_functions_2.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_nn_functions.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_fft_functions.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_linalg_functions.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_nested_functions.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_sparse_functions.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_special_functions.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_return_types.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_enum_tag.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_functions.h, /builddir/build/BUILD/pytorch-v2.0.1/torch/testing/_internal/generated/annotated_fn_args.py [ 8%] Generating /builddir/build/BUILD/pytorch-v2.0.1/torch/_C/__init__.pyi, /builddir/build/BUILD/pytorch-v2.0.1/torch/_C/_VariableFunctions.pyi, /builddir/build/BUILD/pytorch-v2.0.1/torch/nn/functional.pyi [ 8%] Generating /builddir/build/BUILD/pytorch-v2.0.1/torch/version.py [ 8%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86emithelper.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/simple_sum.cpp.o [ 8%] Built target gen_torch_version [ 8%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/layernorm_fusion.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/matmul_fusion.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/pool_fusion.cpp.o Compiling transport/net_ib.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/transport/net_ib.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/zero_point_utils.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/gemv_driver.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm/f32/gemm_utils_f32.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:22: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::xorps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1402:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vxorps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1292:18, inlined from ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::kernel_loop(int, int, bool, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:158:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::kernel_loop(int, int, bool, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:156:14: note: object ‘y’ of size 8 156 | auto y = y_[j]; | ^ [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm/f32/ref_gemm_f32.cpp.o [ 9%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/PyObjectSlot.cpp.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::xorps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1402:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vxorps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1292:18, inlined from ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::kernel_loop(int, int, bool, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:158:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp: In function ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::kernel_loop(int, int, bool, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:156:14: note: object ‘y’ of size 8 156 | auto y = y_[j]; | ^ [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm/gemm.cpp.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/substitute.cc.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::xorps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1402:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vxorps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1292:18, inlined from ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::innerloop(int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:184:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::innerloop(int, int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:183:14: note: object ‘y’ of size 8 183 | auto y = y_[i]; | ^ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::shufps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:844:69, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vbroadcastss(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:516:19, inlined from ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::innerloop(int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:176:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::innerloop(int, int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:175:14: note: object ‘x’ of size 8 175 | auto x = x_[i]; | ^ [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/text_format.cc.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/timestamp.pb.cc.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm/gemm_pack.cpp.o [ 9%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86formatter.cpp.o [ 9%] Built target nvfuser_rt_UnpackRaw [ 9%] Built target nvfuser_rt_array [ 9%] Built target nvfuser_rt_block_reduction [ 9%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86func.cpp.o [ 9%] Built target nvfuser_rt_block_sync_atomic [ 9%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/quantize_fusion.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/substitute.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/substitute.cc: In function ‘void google::protobuf::strings::SubstituteAndAppend(std::string*, const char*, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:183:50: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 183 | #define GOOGLE_DCHECK_EQ(A, B) GOOGLE_DCHECK((A) == (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:181:48: note: in expansion of macro ‘GOOGLE_CHECK’ 181 | #define GOOGLE_DCHECK(EXPRESSION) while(false) GOOGLE_CHECK(EXPRESSION) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:183:32: note: in expansion of macro ‘GOOGLE_DCHECK’ 183 | #define GOOGLE_DCHECK_EQ(A, B) GOOGLE_DCHECK((A) == (B)) | ^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/substitute.cc:133:3: note: in expansion of macro ‘GOOGLE_DCHECK_EQ’ 133 | GOOGLE_DCHECK_EQ(target - output->data(), output->size()); | ^~~~~~~~~~~~~~~~ [ 9%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/reduction_fusion.cpp.o [ 9%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/PythonDispatcherTLS.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_gemm_s8u8s32_kern.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm/s8x8s32/ref_gemm_s8x8s32.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc: In member function ‘google::protobuf::TextFormat::ParseLocation google::protobuf::TextFormat::ParseInfoTree::GetLocation(const google::protobuf::FieldDescriptor*, int) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc:164:37: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 164 | if (locations == nullptr || index >= locations->size()) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc: In member function ‘google::protobuf::TextFormat::ParseInfoTree* google::protobuf::TextFormat::ParseInfoTree::GetTreeForNested(const google::protobuf::FieldDescriptor*, int) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc:179:36: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 179 | if (it == nested_.end() || index >= it->second.size()) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc: In member function ‘void google::protobuf::TextFormat::Printer::TextGenerator::Write(const char*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc:1303:17: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 1303 | while (size > buffer_size_) { | ~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc: In member function ‘void google::protobuf::TextFormat::Printer::Print(const google::protobuf::Message&, TextGenerator*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc:2034:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2034 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc: In member function ‘void google::protobuf::TextFormat::Printer::PrintField(const google::protobuf::Message&, const google::protobuf::Reflection*, const google::protobuf::FieldDescriptor*, TextGenerator*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc:2294:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2294 | for (int j = 0; j < sorted_map_field.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc: In member function ‘void google::protobuf::TextFormat::Printer::PrintFieldValue(const google::protobuf::Message&, const google::protobuf::Reflection*, const google::protobuf::FieldDescriptor*, int, TextGenerator*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc:2375:46: warning: comparison of integer expressions of different signedness: ‘const google::protobuf::int64’ {aka ‘const long int’} and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2375 | truncate_string_field_longer_than_ < value.size()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/type.pb.cc.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_an_kern_autogen.cpp.o Compiling collectives/sendrecv.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/sendrecv.o [ 9%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/SizesAndStrides.cpp.o [ 9%] Built target nvfuser_rt_block_sync_default [ 9%] Built target nvfuser_rt_broadcast [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/unknown_field_set.cc.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/delimited_message_util.cc.o [ 9%] Built target nvfuser_rt_fp16_support [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_at_kern_autogen.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/reorder_fusion.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm/s8x8s32/simple_gemm_s8s8s32.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/matmul/cpu_matmul_list.cpp.o [ 9%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86instdb.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/matmul/gemm_bf16_matmul.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/unknown_field_set.cc: In member function ‘size_t google::protobuf::UnknownFieldSet::SpaceUsedExcludingSelfLong() const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/unknown_field_set.cc:111:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (int i = 0; i < fields_.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/unknown_field_set.cc: In member function ‘void google::protobuf::UnknownFieldSet::DeleteSubrange(int, int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/unknown_field_set.cc:187:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 187 | for (int i = start + num; i < fields_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/unknown_field_set.cc: In member function ‘void google::protobuf::UnknownFieldSet::DeleteByNumber(int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/unknown_field_set.cc:198:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 198 | for (int i = 0; i < fields_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ [ 9%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/TorchDispatchModeTLS.cpp.o [ 9%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86instapi.cpp.o [ 9%] Built target nvfuser_rt_fused_reduction [ 9%] Generating /builddir/build/BUILD/pytorch-v2.0.1/torch/utils/data/datapipes/datapipe.pyi [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/matmul/gemm_f32_matmul.cpp.o [ 9%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86operand.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/shuffle_fusion.cpp.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/field_comparator.cc.o Compiling transport/coll_net.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/transport/coll_net.o [ 9%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86rapass.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/single_op_pattern.cpp.o [ 9%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/alloc_cpu.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_bn_kern_autogen.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_bt_kern_autogen.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/matmul/gemm_x8s8s32x_matmul.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/matmul/ref_matmul.cpp.o [ 9%] Built target nvfuser_rt_fused_welford_helper [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/matmul/ref_matmul_int8.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_sum_an_kern_autogen.cpp.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/field_mask_util.cc.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/datapiece.cc.o [ 9%] Built target nvfuser_rt_fused_welford_impl [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_sum_at_kern_autogen.cpp.o [ 9%] Building CXX object c10/CMakeFiles/c10.dir/core/thread_pool.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In static member function ‘static void google::protobuf::util::FieldMaskUtil::FromString(google::protobuf::StringPiece, FieldMask*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:52:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (int i = 0; i < paths.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In static member function ‘static bool google::protobuf::util::FieldMaskUtil::FromJsonString(google::protobuf::StringPiece, FieldMask*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:125:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 125 | for (int i = 0; i < paths.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In static member function ‘static bool google::protobuf::util::FieldMaskUtil::GetFieldDescriptors(const google::protobuf::Descriptor*, google::protobuf::StringPiece, std::vector*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:143:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 143 | for (int i = 0; i < parts.size(); ++i) { | ~~^~~~~~~~~~~~~~ [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In member function ‘void google::protobuf::util::{anonymous}::FieldMaskTree::AddPath(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:332:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 332 | for (int i = 0; i < parts.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In member function ‘void google::protobuf::util::{anonymous}::FieldMaskTree::RemovePath(const std::string&, const google::protobuf::Descriptor*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:368:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 368 | for (int i = 0; i < parts.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:374:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 374 | i != parts.size() - 1)) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In member function ‘void google::protobuf::util::{anonymous}::FieldMaskTree::IntersectPath(const std::string&, google::protobuf::util::{anonymous}::FieldMaskTree*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:417:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 417 | for (int i = 0; i < parts.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In static member function ‘static bool google::protobuf::util::FieldMaskUtil::IsPathInFieldMask(google::protobuf::StringPiece, const FieldMask&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:674:35: warning: comparison of integer expressions of different signedness: ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 674 | } else if (mask_path.length() < path.length()) { | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ [ 9%] Built target torch_python_stubs [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_comp_bf16_s8.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/softmax_fusion.cpp.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/default_value_objectwriter.cc.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/error_listener.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = int; From = unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:80:34: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = int; From = unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:341:47: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:126:31: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:60:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 60 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:61:36: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 61 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = int; From = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:80:34: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = int; From = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:343:47: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:126:31: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:60:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 60 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:61:36: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘int’ [-Wsign-compare] 61 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = unsigned int; From = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:80:34: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = unsigned int; From = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:337:46: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:139:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:60:13: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 60 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:61:36: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 61 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = long int; From = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:80:34: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = long int; From = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:343:47: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = long int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:151:31: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:60:13: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘long unsigned int’ [-Wsign-compare] 60 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:61:36: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘long int’ [-Wsign-compare] 61 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = long unsigned int; From = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:80:34: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = long unsigned int; From = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:337:46: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:164:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:60:13: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘int’ [-Wsign-compare] 60 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:61:36: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 61 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = long unsigned int; From = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:80:34: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = long unsigned int; From = long int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:339:46: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:164:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:60:13: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘long int’ [-Wsign-compare] 60 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:61:36: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘long unsigned int’ [-Wsign-compare] 61 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/sum_fusion.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_comp_f32_s8.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h: In destructor ‘virtual google::protobuf::util::converter::DefaultValueObjectWriter::Node::~Node()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h:156:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 156 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc: In member function ‘google::protobuf::util::converter::DefaultValueObjectWriter::Node* google::protobuf::util::converter::DefaultValueObjectWriter::Node::FindChild(google::protobuf::StringPiece)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc:223:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 223 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc: In member function ‘void google::protobuf::util::converter::DefaultValueObjectWriter::Node::WriteChildren(google::protobuf::util::converter::ObjectWriter*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc:268:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 268 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ [ 9%] Building CXX object c10/CMakeFiles/c10.dir/mobile/CPUCachingAllocator.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc: In member function ‘virtual void google::protobuf::util::converter::DefaultValueObjectWriter::Node::PopulateChildren(const google::protobuf::util::converter::TypeInfo*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc:317:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 317 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc:394:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 394 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/field_mask_utility.cc.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/json_escaping.cc.o Compiling collectives/all_gather.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/all_gather.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/json_objectwriter.cc.o [ 9%] Linking CXX static library ../../../lib/libasmjit.a [ 9%] Built target generate-torch-sources [ 9%] Built target nvfuser_rt_bf16_support [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_sum_bn_kern_autogen.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_sum_bt_kern_autogen.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_comp_s8_s8.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/json_escaping.cc: In static member function ‘static void google::protobuf::util::converter::JsonEscaping::Escape(google::protobuf::StringPiece, google::protobuf::strings::ByteSink*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/json_escaping.cc:349:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 349 | for (int i = 0; i < len; i++) { | ~~^~~~~ [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/json_stream_parser.cc.o [ 9%] Built target asmjit [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/object_writer.cc.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/proto_writer.cc.o [ 9%] Built target nvfuser_rt_grid_broadcast [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/protostream_objectsource.cc.o [ 9%] Built target nvfuser_rt_grid_reduction [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_an_kern_autogen.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_bf16.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f16.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/field_mask_utility.cc: In function ‘std::string google::protobuf::util::converter::ConvertFieldMaskPath(google::protobuf::StringPiece, ConverterCallback)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/field_mask_utility.cc:76:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 76 | for (size_t i = 0; i <= path.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/field_mask_utility.cc:79:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 79 | if (i == path.size()) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/field_mask_utility.cc:93:11: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 93 | if (i == path.size() || path[i] == '.' || path[i] == '(' || | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/field_mask_utility.cc:97:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 97 | if (i < path.size()) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/field_mask_utility.cc:102:11: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 102 | if (i < path.size() && path[i] == '\"') { | ~~^~~~~~~~~~~~~ [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f32_bf16.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_at_kern_autogen.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_bn_kern_autogen.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_bt_kern_autogen.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_sum_an_kern_autogen.cpp.o [ 9%] Building CXX object c10/CMakeFiles/c10.dir/mobile/CPUProfilingAllocator.cpp.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/protostream_objectwriter.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/proto_writer.cc: In member function ‘virtual std::string google::protobuf::util::converter::ProtoWriter::ProtoElement::ToString() const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/proto_writer.cc:409:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 409 | while (i < name.size() && | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/proto_writer.cc:412:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 412 | if (i > 0 && i == name.size()) { // safe field name | ~~^~~~~~~~~~~~~~ [ 9%] Built target nvfuser_rt_grid_sync [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f32_f16.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f32_f32.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_sum_at_kern_autogen.cpp.o [ 9%] Built target nvfuser_rt_helpers [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_sum_bn_kern_autogen.cpp.o Compiling collectives/all_reduce.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/all_reduce.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f32_s32.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f32_s8.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_sum_bt_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/protostream_objectwriter.cc: In function ‘google::protobuf::util::Status google::protobuf::util::converter::{anonymous}::GetNanosFromStringPiece(google::protobuf::StringPiece, const char*, const char*, google::protobuf::int32*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/protostream_objectwriter.cc:150:47: warning: comparison of integer expressions of different signedness: ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 150 | if (s_nanos.find_first_not_of("0123456789") != StringPiece::npos) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/protostream_objectwriter.cc: In member function ‘void google::protobuf::util::converter::ProtoStreamObjectWriter::AnyWriter::StartAny(const google::protobuf::util::converter::DataPiece&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/protostream_objectwriter.cc:379:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 379 | for (int i = 0; i < uninterpreted_events_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building CXX object c10/CMakeFiles/c10.dir/util/Array.cpp.o [ 9%] Built target nvfuser_rt_index_utils [ 9%] Built target nvfuser_rt_random_numbers [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f32_u8.cpp.o [ 9%] Building CXX object c10/CMakeFiles/c10.dir/util/Backtrace.cpp.o [ 9%] Built target nvfuser_rt_swizzle [ 9%] Built target nvfuser_rt_tensor [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_s32.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_gemm_s8u8s32_kern.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_gemv_s8x8s32.cpp.o [ 9%] Building CXX object c10/CMakeFiles/c10.dir/util/C++17.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp.o [ 9%] Building CXX object c10/CMakeFiles/c10.dir/util/DeadlockDetection.cpp.o [ 9%] Building CXX object c10/CMakeFiles/c10.dir/util/Exception.cpp.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/type_info.cc.o Compiling transport/net_socket.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/transport/net_socket.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/type_info_test_helper.cc.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_s8.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_u8.cpp.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/utility.cc.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/brgemm_cell_common.cpp.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/json_util.cc.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/message_differencer.cc.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/time_util.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/type_info_test_helper.h:39, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/type_info_test_helper.cc:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h: In destructor ‘virtual google::protobuf::util::converter::DefaultValueObjectWriter::Node::~Node()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h:156:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 156 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/type_info_test_helper.cc: In member function ‘void google::protobuf::util::converter::testing::TypeInfoTestHelper::ResetTypeInfo(const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/type_info_test_helper.cc:59:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 59 | for (int i = 1; i < descriptors.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 9%] Built target nvfuser_rt_tuple In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/json_util.cc:37: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h: In destructor ‘virtual google::protobuf::util::converter::DefaultValueObjectWriter::Node::~Node()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h:156:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 156 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_an_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/json_util.cc: In member function ‘virtual void google::protobuf::util::internal::ZeroCopyStreamByteSink::Append(const char*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/json_util.cc:64:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 64 | if (len <= buffer_size_) { | ~~~~^~~~~~~~~~~~~~~ [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/type_resolver_util.cc.o [ 9%] Building CXX object c10/CMakeFiles/c10.dir/util/Half.cpp.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/wire_format.cc.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/wrappers.pb.cc.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/cell_common.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In constructor ‘google::protobuf::util::MessageDifferencer::MultipleFieldsMapKeyComparator::MultipleFieldsMapKeyComparator(google::protobuf::util::MessageDifferencer*, const std::vector >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:114:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 114 | for (int i = 0; i < key_field_paths_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘virtual bool google::protobuf::util::MessageDifferencer::MultipleFieldsMapKeyComparator::IsMatch(const google::protobuf::Message&, const google::protobuf::Message&, const std::vector&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:127:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 127 | for (int i = 0; i < key_field_paths_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘bool google::protobuf::util::MessageDifferencer::MultipleFieldsMapKeyComparator::IsMatchInternal(const google::protobuf::Message&, const google::protobuf::Message&, const std::vector&, const std::vector&, int) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:144:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (path_index == key_field_path.size() - 1) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In function ‘void google::protobuf::util::MatchIndicesPostProcessorForSmartList(std::vector*, std::vector*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:190:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 190 | for (int i = 0; i < match_list1->size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc: In function ‘std::string google::protobuf::util::converter::ToCamelCase(google::protobuf::StringPiece)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc:261:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 261 | for (size_t i = 0; i < input.size(); ++i, was_cap = is_cap) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc:274:19: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 274 | (i + 1 < input.size() && ascii_islower(input[i + 1])))) { | ~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc: In function ‘std::string google::protobuf::util::converter::ToSnakeCase(google::protobuf::StringPiece)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc:303:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 303 | for (size_t i = 0; i < input.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc:316:19: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 316 | (i + 1 < input.size() && // case 3 out | ~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In destructor ‘google::protobuf::util::MessageDifferencer::~MessageDifferencer()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:278:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 278 | for (int i = 0; i < owned_key_comparators_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:281:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 281 | for (int i = 0; i < ignore_criteria_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc: In function ‘void google::protobuf::util::converter::InitWellKnownTypes()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc:347:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 347 | for (int i = 0; i < GOOGLE_ARRAYSIZE(well_known_types_name_array_); ++i) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘void google::protobuf::util::MessageDifferencer::TreatAsMapWithMultipleFieldsAsKey(const google::protobuf::FieldDescriptor*, const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:382:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 382 | for (int i = 0; i < key_fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘void google::protobuf::util::MessageDifferencer::TreatAsMapWithMultipleFieldPathsAsKey(const google::protobuf::FieldDescriptor*, const std::vector >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:397:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 397 | for (int i = 0; i < key_field_paths.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:400:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 400 | for (int j = 0; j < key_field_path.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_at_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘google::protobuf::util::FieldDescriptorArray google::protobuf::util::MessageDifferencer::CombineFields(const google::protobuf::util::FieldDescriptorArray&, Scope, const google::protobuf::util::FieldDescriptorArray&, Scope)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:679:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 679 | while (index1 < fields1.size() && index2 < fields2.size()) { | ~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:679:44: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 679 | while (index1 < fields1.size() && index2 < fields2.size()) { | ~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In static member function ‘static bool google::protobuf::util::MessageDifferencer::CheckPathChanged(const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1119:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1119 | for (int i = 0; i < field_path.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘bool google::protobuf::util::MessageDifferencer::IsIgnored(const google::protobuf::Message&, const google::protobuf::Message&, const google::protobuf::FieldDescriptor*, const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1166:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1166 | for (int i = 0; i < ignore_criteria_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘bool google::protobuf::util::MessageDifferencer::IsUnknownFieldIgnored(const google::protobuf::Message&, const google::protobuf::Message&, const SpecificField&, const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1179:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1179 | for (int i = 0; i < ignore_criteria_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘bool google::protobuf::util::MessageDifferencer::CompareUnknownFields(const google::protobuf::Message&, const google::protobuf::Message&, const google::protobuf::UnknownFieldSet&, const google::protobuf::UnknownFieldSet&, std::vector*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1302:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1302 | while (index1 < fields1.size() || index2 < fields2.size()) { | ~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1302:44: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1302 | while (index1 < fields1.size() || index2 < fields2.size()) { | ~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1316:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1316 | if (index2 == fields2.size() || | ~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1317:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1317 | (index1 < fields1.size() && | ~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1322:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1322 | } else if (index1 == fields1.size() || | ~~~~~~~^~~~~~~~~~~~~~~~~ [ 9%] Built target nvfuser_rt_type_traits /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘virtual void google::protobuf::util::MessageDifferencer::StreamReporter::PrintPath(const std::vector&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1764:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1764 | for (int i = 0; i < field_path.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ [ 9%] Built target nvfuser_rt_welford [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/cell_gru.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/cell_gru_lbr.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/ref_postgemm_gru.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_bn_kern_autogen.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/ref_postgemm_gru_lbr.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/ref_postgemm_lstm.cpp.o Compiling collectives/broadcast.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/broadcast.o [ 9%] Built target nvfuser_rt_warp [ 9%] Building CXX object c10/CMakeFiles/c10.dir/util/LeftRight.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/ref_postgemm_lstm_projection.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/ref_postgemm_rnn.cpp.o [ 9%] Built target nvfuser_rt_tensorcore [ 9%] Built target nvfuser_rt_memory [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_bt_kern_autogen.cpp.o [ 9%] Built target nvfuser_rt_PhiloxCudaStateRaw [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_sum_an_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc: In static member function ‘static size_t google::protobuf::internal::WireFormat::ByteSize(const google::protobuf::Message&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1465:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1465 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc: In static member function ‘static size_t google::protobuf::internal::WireFormat::FieldDataOnlyByteSize(const google::protobuf::FieldDescriptor*, const google::protobuf::Message&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1664:5: note: in expansion of macro ‘HANDLE_TYPE’ 1664 | HANDLE_TYPE(INT32, Int32, Int32) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1665:5: note: in expansion of macro ‘HANDLE_TYPE’ 1665 | HANDLE_TYPE(INT64, Int64, Int64) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1666:5: note: in expansion of macro ‘HANDLE_TYPE’ 1666 | HANDLE_TYPE(SINT32, SInt32, Int32) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1667:5: note: in expansion of macro ‘HANDLE_TYPE’ 1667 | HANDLE_TYPE(SINT64, SInt64, Int64) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1668:5: note: in expansion of macro ‘HANDLE_TYPE’ 1668 | HANDLE_TYPE(UINT32, UInt32, UInt32) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1669:5: note: in expansion of macro ‘HANDLE_TYPE’ 1669 | HANDLE_TYPE(UINT64, UInt64, UInt64) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1681:5: note: in expansion of macro ‘HANDLE_TYPE’ 1681 | HANDLE_TYPE(GROUP, Group, Message) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1682:5: note: in expansion of macro ‘HANDLE_TYPE’ 1682 | HANDLE_TYPE(MESSAGE, Message, Message) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1688:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1688 | for (int j = 0; j < count; j++) { | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1703:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1703 | for (int j = 0; j < count; j++) { | ~~^~~~~~~ [ 9%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/init.c.o [ 9%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/api.c.o [ 9%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/cache.c.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/ref_rnn.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/rnn_utils.cpp.o [ 9%] Building CXX object c10/CMakeFiles/c10.dir/util/Logging.cpp.o [ 9%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/init.c.o [ 9%] Building C object 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9%] Building C object confu-deps/XNNPACK/CMakeFiles/logging.dir/src/enums/datatype-strings.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/scalar.c:103:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 103 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/scalar.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:30:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 30 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/logging.dir/src/enums/microkernel-type.c.o [ 9%] Built target nnpack_reference_layers Compiling collectives/reduce_scatter.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/reduce_scatter.o [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/logging.dir/src/enums/node-type.c.o [ 9%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/topology.c.o [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/sse.c.o [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-bfly4/gen/cs16-bfly4-scalar-x4.c.o [ 9%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/cache/deterministic.c.o [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/indirection.dir/src/indirection.c.o [ 9%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/linux/init.c.o [ 9%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/linux/cpuinfo.c.o [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/logging.dir/src/enums/operator-type.c.o [ 9%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/isa.c.o [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-fftr/gen/cs16-fftr-scalar-x1.c.o [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/logging.dir/src/log.c.o [ 9%] Built target dnnl_common [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/jit_utils/linux_perf/linux_perf.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/log.c:58:13: warning: ‘xnn_vlog’ defined but not used [-Wunused-function] 58 | static void xnn_vlog(int output_handle, const char* prefix, size_t prefix_length, const char* format, va_list args) { | ^~~~~~~~ [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-fftr/gen/cs16-fftr-scalar-x2.c.o [ 9%] Built target logging [ 10%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/cache/init.c.o [ 10%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/cache/descriptor.c.o [ 10%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/linux/smallfile.c.o [ 10%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/cache/deterministic.c.o [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-fftr/gen/cs16-fftr-scalar-x4.c.o [ 10%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/linux/multiline.c.o [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x1.c.o [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x2.c.o [ 10%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/linux/init.c.o [ 10%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/linux/cpulist.c.o [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x3.c.o [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/sse2.c.o [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/ssse3.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.hpp:22, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:17: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: at offset 16 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: at offset 16 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: at offset 16 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: at offset 16 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ [ 10%] Building CXX object c10/CMakeFiles/c10.dir/util/MathConstants.cpp.o [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/sse41.c.o [ 10%] Building CXX object c10/CMakeFiles/c10.dir/util/Metaprogramming.cpp.o [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x4.c.o [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:42:44: warning: argument 11 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 42 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:69:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 69 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:73:1: note: in expansion of macro ‘DECLARE_F32_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 73 | DECLARE_F32_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_avgpool_minmax_ukernel_9p8x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 10%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/linux/processors.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:363:44: warning: argument 10 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 363 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:90:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 90 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:94:1: note: in expansion of macro ‘DECLARE_F32_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 94 | DECLARE_F32_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_avgpool_minmax_ukernel_9x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:535:39: warning: argument 13 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 535 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:73:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 73 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:79:1: note: in expansion of macro ‘DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION’ 79 | DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION(xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__sse_2x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:1174:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1174 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:260:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 260 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:1847:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1847 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:171:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 171 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:1992:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1992 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:200:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 200 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:2161:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2161 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:231:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 231 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:2448:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2448 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1160:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1160 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:2724:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2724 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1244:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1244 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_1x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:2907:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2907 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1329:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1329 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_4x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:3685:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3685 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1420:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1420 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_2x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:4172:41: warning: argument 5 of type ‘const union xnn_f32_gavgpool_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4172 | const union xnn_f32_gavgpool_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:314:44: note: previously declared as ‘const union xnn_f32_gavgpool_params *’ 314 | const union xnn_f32_gavgpool_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:318:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_CW_UKERNEL_FUNCTION’ 318 | DECLARE_F32_GAVGPOOL_CW_UKERNEL_FUNCTION(xnn_f32_gavgpool_cw_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:4284:44: warning: argument 8 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4284 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:31:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 31 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:35:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 35 | DECLARE_F32_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_gavgpool_minmax_ukernel_7p7x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:4478:44: warning: argument 7 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4478 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:49:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 49 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:53:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 53 | DECLARE_F32_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_gavgpool_minmax_ukernel_7x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:4590:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4590 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:229:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 229 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:4674:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4674 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:244:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 244 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x2c4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:4821:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4821 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:231:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 231 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:5322:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5322 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:143:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 143 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:5419:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5419 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:158:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 158 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x2c4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:5583:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5583 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:145:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 145 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:5764:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5764 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:48:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 48 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:52:1: note: in expansion of macro ‘DECLARE_F32_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 52 | DECLARE_F32_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_f32_maxpool_minmax_ukernel_9p8x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:6016:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6016 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:69:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 69 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:73:1: note: in expansion of macro ‘DECLARE_F32_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 73 | DECLARE_F32_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_pavgpool_minmax_ukernel_9p8x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 10%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/linux/cpuinfo.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:6340:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6340 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:91:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 91 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:95:1: note: in expansion of macro ‘DECLARE_F32_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 95 | DECLARE_F32_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_pavgpool_minmax_ukernel_9x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:6555:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6555 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:108:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 108 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_32x1__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:95:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 95 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:6797:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6797 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:26: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:339:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 339 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:6869:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6869 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:541:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 541 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:6933:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6933 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:362:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 362 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7005:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7005 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:564:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 564 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7069:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7069 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:197:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 197 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7130:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7130 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:479:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 479 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7183:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7183 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:220:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 220 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7244:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7244 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:502:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 502 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7297:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7297 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:385:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 385 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7369:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7369 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:610:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 610 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 10%] Built target indirection /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7433:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7433 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:587:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 587 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7497:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7497 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:656:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 656 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7561:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7561 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:243:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 243 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7626:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7626 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:525:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 525 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7683:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7683 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:408:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 408 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7755:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7755 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:633:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 633 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7818:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7818 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:252:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 252 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7873:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7873 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:505:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 505 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7943:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7943 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:555:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 555 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:8006:39: warning: argument 8 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8006 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:27: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:28:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 28 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:36:1: note: in expansion of macro ‘DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 36 | DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulcaddc_minmax_ukernel_c4__sse_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:8111:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8111 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:761:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 761 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__sse_sqrt_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:8143:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8143 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:219:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 219 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:8188:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8188 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:602:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 602 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:8233:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8233 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1108:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1108 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:8356:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8356 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:128:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 128 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:96:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 96 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 10%] Linking C static library ../../lib/libcpuinfo.a [ 10%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/linux/smallfile.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x3.c:21:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:97:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 97 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__scalar_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 10%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/linux/multiline.c.o [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-argmaxpool/f32-argmaxpool-4x-scalar-c1.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:98:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 98 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 10%] Building CXX object c10/CMakeFiles/c10.dir/util/Optional.cpp.o [ 10%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/linux/cpulist.c.o [ 10%] Built target cpuinfo [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-argmaxpool/f32-argmaxpool-9p8x-scalar-c1.c.o [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/f16c.c.o [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/xop.c.o [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/fma3.c.o [ 10%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/linux/processors.c.o [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-argmaxpool/f32-argmaxpool-9x-scalar-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:27:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1170:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1170 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-avgpool/f32-avgpool-9p8x-minmax-scalar-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:239:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 239 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:314:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 314 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:353:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 353 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:34:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 34 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:492:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 492 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:407:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 407 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:603:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 603 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:89:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 89 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:742:42: warning: argument 7 of type ‘const union xnn_x24_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 742 | const union xnn_x24_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:143:45: note: previously declared as ‘const union xnn_x24_transpose_params *’ 143 | const union xnn_x24_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:155:1: note: in expansion of macro ‘DECLARE_X24_TRANSPOSEC_UKERNEL_FUNCTION’ 155 | DECLARE_X24_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x24_transposec_ukernel__4x4_ssse3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:32:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:50:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 50 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int16_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:164:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 164 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:121:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 121 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:418:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 418 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:183:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 183 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:550:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 550 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:561:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 561 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:604:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 604 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:724:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 724 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:650:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 650 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:670:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 670 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:696:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 696 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:706:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 706 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:742:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 742 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:688:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 688 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:790:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 790 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:927:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 927 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9p8x-minmax-scalar-c1.c:23:44: warning: argument 11 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9p8x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:69:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 69 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:72:1: note: in expansion of macro ‘DECLARE_F32_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 72 | DECLARE_F32_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_avgpool_minmax_ukernel_9p8x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:997:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 997 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1043:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1043 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:1804:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1804 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:946:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 946 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:1995:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1995 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:966:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 966 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:2354:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2354 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1867:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1867 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:2460:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2460 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1869:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1869 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:2629:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2629 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1536:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1536 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:2747:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2747 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1538:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1538 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:2926:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2926 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:802:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 802 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:3682:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3682 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:706:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 706 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4016:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4016 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:362:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 362 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4093:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4093 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:132:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 132 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4351:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4351 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:183:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 183 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4516:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4516 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1417:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1417 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4621:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4621 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1419:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1419 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4789:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4789 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1163:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1163 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4906:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4906 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1165:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1165 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5079:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5079 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:128:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 128 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5190:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5190 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:183:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 183 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5283:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5283 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:318:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 318 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5370:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5370 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:38:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 38 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5477:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5477 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:109:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 109 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5605:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5605 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:138:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 138 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:41:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 41 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:30: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:42:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 42 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int16_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5732:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5732 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:548:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 548 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:217:36: warning: argument 4 of type ‘const union xnn_f16_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 217 | const union xnn_f16_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:24:39: note: previously declared as ‘const union xnn_f16_abs_params *’ 24 | const union xnn_f16_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:30:1: note: in expansion of macro ‘DECLARE_F16_VABS_UKERNEL_FUNCTION’ 30 | DECLARE_F16_VABS_UKERNEL_FUNCTION(xnn_f16_vabs_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:269:36: warning: argument 4 of type ‘const union xnn_f16_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 269 | const union xnn_f16_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:80:39: note: previously declared as ‘const union xnn_f16_neg_params *’ 80 | const union xnn_f16_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:87:1: note: in expansion of macro ‘DECLARE_F16_VNEG_UKERNEL_FUNCTION’ 87 | DECLARE_F16_VNEG_UKERNEL_FUNCTION(xnn_f16_vneg_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 10%] Linking C static library ../../lib/libcpuinfo_internals.a /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:999:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 999 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:117:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 117 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:6585:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6585 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:539:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 539 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:1355:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1355 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:178:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 178 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:1492:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1492 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:251:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 251 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:6952:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6952 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:455:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 455 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:1629:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1629 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:143:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 143 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x20_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:7029:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7029 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:235:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 235 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:1890:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1890 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:299:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 299 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2158:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2158 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:558:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 558 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:7290:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7290 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:286:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 286 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2216:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2216 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:722:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 722 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2284:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2284 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:668:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 668 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:7456:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7456 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:836:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 836 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2346:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2346 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:704:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 704 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2424:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2424 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:7561:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7561 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:686:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 686 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:838:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 838 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2488:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2488 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:920:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 920 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:7729:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7729 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:589:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 589 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2716:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2716 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:7846:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7846 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:591:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 591 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1036:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1036 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8019:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8019 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:39:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 39 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8126:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8126 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:77:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 77 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8217:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8217 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:411:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 411 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8304:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8304 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:93:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 93 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:3573:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3573 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:945:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 945 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8411:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8411 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:43:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 43 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:3770:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3770 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:959:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 959 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8539:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8539 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:72:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 72 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8830:38: warning: argument 9 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8830 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:86:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 86 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:93:1: note: in expansion of macro ‘DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 93 | DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_s8_maxpool_minmax_ukernel_9p8x__sse41_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:4147:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4147 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1863:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1863 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microparams-init.dir/src/microparams-init.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:9072:38: warning: argument 4 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9072 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1129:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 1129 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1134:1: note: in expansion of macro ‘DECLARE_S8_VCLAMP_UKERNEL_FUNCTION’ 1134 | DECLARE_S8_VCLAMP_UKERNEL_FUNCTION(xnn_s8_vclamp_ukernel__sse41_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:4254:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4254 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1865:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1865 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:4427:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4427 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1532:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1532 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:4546:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4546 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1534:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1534 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:4727:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4727 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:795:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 795 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:5509:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5509 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:699:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 699 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:5853:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5853 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:359:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 359 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-avgpool/f32-avgpool-9x-minmax-scalar-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:5976:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5976 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:128:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 128 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:6293:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6293 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:179:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 179 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:6489:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6489 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1409:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1409 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:6595:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6595 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1411:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1411 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:6767:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6767 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1155:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1155 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:32:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:6885:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6885 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1157:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1157 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:60:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 60 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int16_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:170:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 170 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7060:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7060 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:29: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:123:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 123 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:252:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 252 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7175:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7175 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:178:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 178 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:612:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 612 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:173:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 173 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:767:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 767 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:202:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 202 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7270:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7270 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:311:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 311 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:946:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 946 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:233:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 233 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7434:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7434 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:31:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 31 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:1239:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1239 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:128:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 128 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7627:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7627 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:1507:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1507 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:105:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 105 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:252:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 252 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:1599:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1599 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:257:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 257 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/normalization.dir/src/normalization.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7735:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7735 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:134:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 134 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:1817:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1817 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:166:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 166 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:1922:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1922 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:171:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 171 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7844:47: warning: argument 11 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7844 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2287:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2287 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:188:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 188 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2393:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2393 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:256:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 256 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2500:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2500 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:112:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 112 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:116:1: note: in expansion of macro ‘DECLARE_QU8_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 116 | DECLARE_QU8_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_avgpool_minmax_fp32_ukernel_9p8x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:329:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 329 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2576:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2576 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:531:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 531 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2650:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2650 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:352:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 352 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2726:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2726 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:554:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 554 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2800:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2800 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:187:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 187 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:8228:47: warning: argument 10 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8228 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:130:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 130 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:134:1: note: in expansion of macro ‘DECLARE_QU8_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 134 | DECLARE_QU8_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_avgpool_minmax_fp32_ukernel_9x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2865:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2865 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:469:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 469 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2928:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2928 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:210:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 210 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2993:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2993 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_b0_c_gemm_s8u8s32_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:492:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 492 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:8447:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8447 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:545:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 545 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3056:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3056 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:375:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 375 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3132:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3132 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:600:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 600 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3206:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3206 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:577:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 577 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3280:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3280 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:646:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 646 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3354:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3354 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:233:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 233 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3423:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3423 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:515:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 515 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3490:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3490 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:398:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 398 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:9302:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9302 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:536:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 536 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3566:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3566 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:623:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 623 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3639:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3639 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:9671:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9671 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:452:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 452 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:9787:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9787 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:231:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 231 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:243:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 243 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3704:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3704 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:328:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 328 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10101:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10101 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:282:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 282 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3919:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3919 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:508:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 508 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9x-minmax-scalar-c1.c:22:44: warning: argument 10 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:90:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 90 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:93:1: note: in expansion of macro ‘DECLARE_F32_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 93 | DECLARE_F32_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_avgpool_minmax_ukernel_9x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10296:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10296 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:832:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 832 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3999:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3999 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:564:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 564 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4060:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4060 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:711:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 711 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10402:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10402 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:834:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 834 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4117:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4117 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:657:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 657 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4174:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4174 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:693:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 693 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4231:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4231 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:675:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 675 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10573:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10573 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:585:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 585 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4288:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4288 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:948:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 948 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Built target cpuinfo_internals /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10691:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10691 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:587:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 587 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4541:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4541 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:764:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 764 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx_sqrt_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4584:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4584 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:222:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 222 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/microparams-init.c:1553:37: warning: argument 1 of type ‘union xnn_f32_scaleminmax_params *’ declared as a pointer [-Warray-parameter=] 1553 | union xnn_f32_scaleminmax_params* params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/microparams-init.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:259:38: note: previously declared as an array ‘union xnn_f32_scaleminmax_params[static 1]’ 259 | union xnn_f32_scaleminmax_params params[XNN_MIN_ELEMENTS(1)], \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:262:1: note: in expansion of macro ‘DECLARE_UPDATE_F32_SCALEMINMAX_PARAMS_FUNCTION’ 262 | DECLARE_UPDATE_F32_SCALEMINMAX_PARAMS_FUNCTION(xnn_update_f32_scaleminmax_scalar_params) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4640:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4640 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/microparams-init.c:1561:37: warning: argument 1 of type ‘union xnn_f32_scaleminmax_params *’ declared as a pointer [-Warray-parameter=] 1561 | union xnn_f32_scaleminmax_params* params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:259:38: note: previously declared as an array ‘union xnn_f32_scaleminmax_params[static 1]’ 259 | union xnn_f32_scaleminmax_params params[XNN_MIN_ELEMENTS(1)], \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:264:3: note: in expansion of macro ‘DECLARE_UPDATE_F32_SCALEMINMAX_PARAMS_FUNCTION’ 264 | DECLARE_UPDATE_F32_SCALEMINMAX_PARAMS_FUNCTION(xnn_update_f32_scaleminmax_sse_params) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:605:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 605 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10865:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10865 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:36:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 36 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4696:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4696 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1111:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1111 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4757:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4757 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1055:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1055 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10978:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10978 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:74:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 74 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:11072:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11072 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:404:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 404 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/microparams-init.c:4144:29: warning: argument 1 of type ‘union xnn_f32_chw_params *’ declared as a pointer [-Warray-parameter=] 4144 | union xnn_f32_chw_params* params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:699:30: note: previously declared as an array ‘union xnn_f32_chw_params[static 1]’ 699 | union xnn_f32_chw_params params[XNN_MIN_ELEMENTS(1)], \ | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:707:3: note: in expansion of macro ‘DECLARE_UPDATE_F32_CHW_PARAMS_FUNCTION’ 707 | DECLARE_UPDATE_F32_CHW_PARAMS_FUNCTION(xnn_update_f32_chw_sse_stride1_params) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/microparams-init.c:4155:29: warning: argument 1 of type ‘union xnn_f32_chw_params *’ declared as a pointer [-Warray-parameter=] 4155 | union xnn_f32_chw_params* params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:699:30: note: previously declared as an array ‘union xnn_f32_chw_params[static 1]’ 699 | union xnn_f32_chw_params params[XNN_MIN_ELEMENTS(1)], \ | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:708:3: note: in expansion of macro ‘DECLARE_UPDATE_F32_CHW_PARAMS_FUNCTION’ 708 | DECLARE_UPDATE_F32_CHW_PARAMS_FUNCTION(xnn_update_f32_chw_sse_stride2_params) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:11233:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11233 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:86:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 86 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:5715:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5715 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:947:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 947 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:11422:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11422 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:39:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 39 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:5947:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5947 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:978:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 978 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:11532:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11532 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:68:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 68 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:6377:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6377 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1887:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1887 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:6479:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6479 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1888:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1888 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:11770:38: warning: argument 9 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11770 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:6613:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6613 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1556:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1556 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:86:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 86 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:92:1: note: in expansion of macro ‘DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 92 | DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_s8_maxpool_minmax_ukernel_9p8x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:6727:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6727 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1557:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1557 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:6870:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6870 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:810:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 810 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:12034:38: warning: argument 4 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 12034 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1129:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 1129 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1133:1: note: in expansion of macro ‘DECLARE_S8_VCLAMP_UKERNEL_FUNCTION’ 1133 | DECLARE_S8_VCLAMP_UKERNEL_FUNCTION(xnn_s8_vclamp_ukernel__sse2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:12258:38: warning: argument 9 of type ‘const union xnn_u8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 12258 | const union xnn_u8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:68:41: note: previously declared as ‘const union xnn_u8_minmax_params *’ 68 | const union xnn_u8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:72:1: note: in expansion of macro ‘DECLARE_U8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 72 | DECLARE_U8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_u8_maxpool_minmax_ukernel_9p8x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_b0_gemm_s8u8s32_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:7823:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7823 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:714:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 714 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:12539:38: warning: argument 4 of type ‘const union xnn_u8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 12539 | const union xnn_u8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1143:41: note: previously declared as ‘const union xnn_u8_minmax_params *’ 1143 | const union xnn_u8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1147:1: note: in expansion of macro ‘DECLARE_U8_VCLAMP_UKERNEL_FUNCTION’ 1147 | DECLARE_U8_VCLAMP_UKERNEL_FUNCTION(xnn_u8_vclamp_ukernel__sse2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:12615:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 12615 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8242:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8242 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:369:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 369 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8334:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8334 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1441:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1441 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8435:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8435 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1442:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1442 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8568:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8568 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1187:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1187 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8681:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8681 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1188:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1188 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:26: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:195:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 195 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__8x8_reuse_multi_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8818:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8818 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:143:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 143 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8906:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8906 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:198:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 198 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:13208:41: warning: argument 7 of type ‘const union xnn_x8_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 13208 | const union xnn_x8_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:212:44: note: previously declared as ‘const union xnn_x8_transpose_params *’ 212 | const union xnn_x8_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:230:1: note: in expansion of macro ‘DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION’ 230 | DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x8_transposec_ukernel__16x16_reuse_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8984:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8984 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:322:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 322 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:9071:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9071 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:42:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 42 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:9172:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9172 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:112:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 112 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:9300:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9300 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:141:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 141 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:9427:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9427 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:552:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 552 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-scalar-1x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:10526:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10526 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:543:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 543 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:10995:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10995 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:462:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 462 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11087:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11087 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:856:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 856 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:34:44: warning: argument 11 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:34:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 34 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:36:1: note: in expansion of macro ‘DECLARE_F16_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 36 | DECLARE_F16_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_avgpool_minmax_ukernel_9p8x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11189:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11189 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:857:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 857 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:365:44: warning: argument 10 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 365 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:51:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 51 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:53:1: note: in expansion of macro ‘DECLARE_F16_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 53 | DECLARE_F16_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_avgpool_minmax_ukernel_9x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:536:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 536 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:70:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 70 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:590:44: warning: argument 8 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 590 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11323:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11323 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:609:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 609 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:68:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 68 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:75:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 75 | DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7p7x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:766:44: warning: argument 7 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 766 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:89:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 89 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:96:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 96 | DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:884:39: warning: argument 9 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 884 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:32:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 32 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:34:1: note: in expansion of macro ‘DECLARE_F16_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 34 | DECLARE_F16_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_f16_maxpool_minmax_ukernel_9p8x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11437:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11437 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:610:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 610 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1329:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1329 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:84:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 84 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vadd_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1411:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1411 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:149:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 149 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vaddc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1488:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1488 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:85:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 85 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vdiv_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11575:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11575 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:48:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 48 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1548:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1548 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:150:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 150 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vdivc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1606:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1606 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:55:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 55 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1677:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1677 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:110:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 110 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmaxc_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1743:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1743 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:57:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 57 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmin_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1814:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1814 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:112:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 112 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vminc_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11663:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11663 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1880:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1880 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:86:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 86 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:88:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 88 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmul_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1962:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1962 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:153:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 153 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmulc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2039:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2039 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:154:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 154 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vrdivc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2097:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2097 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:157:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 157 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vrsubc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Built target normalization /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2174:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2174 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:59:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 59 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vsqrdiff_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11741:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11741 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:415:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 415 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2249:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2249 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:114:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 114 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vsqrdiffc_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2319:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2319 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:90:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 90 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vsub_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2401:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2401 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:159:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 159 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vsubc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2477:39: warning: argument 4 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2477 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:38:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 38 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:44:1: note: in expansion of macro ‘DECLARE_F16_VCLAMP_UKERNEL_FUNCTION’ 44 | DECLARE_F16_VCLAMP_UKERNEL_FUNCTION(xnn_f16_vclamp_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2539:39: warning: argument 4 of type ‘const union xnn_f16_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2539 | const union xnn_f16_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11828:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11828 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:66:42: note: previously declared as ‘const union xnn_f16_hswish_params *’ 66 | const union xnn_f16_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:72:1: note: in expansion of macro ‘DECLARE_F16_VHSWISH_UKERNEL_FUNCTION’ 72 | DECLARE_F16_VHSWISH_UKERNEL_FUNCTION(xnn_f16_vhswish_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:97:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 97 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2616:38: warning: argument 4 of type ‘const union xnn_f16_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2616 | const union xnn_f16_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:534:41: note: previously declared as ‘const union xnn_f16_lrelu_params *’ 534 | const union xnn_f16_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:540:1: note: in expansion of macro ‘DECLARE_F16_VLRELU_UKERNEL_FUNCTION’ 540 | DECLARE_F16_VLRELU_UKERNEL_FUNCTION(xnn_f16_vlrelu_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2678:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2678 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:113:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 113 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndd_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2734:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2734 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:98:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 98 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndne_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2790:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2790 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:108:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 108 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndu_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11929:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11929 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:46:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 46 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2846:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2846 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:103:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 103 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndz_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2902:37: warning: argument 4 of type ‘const union xnn_f16_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2902 | const union xnn_f16_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:190:40: note: previously declared as ‘const union xnn_f16_sqrt_params *’ 190 | const union xnn_f16_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:204:1: note: in expansion of macro ‘DECLARE_F16_VSQRT_UKERNEL_FUNCTION’ 204 | DECLARE_F16_VSQRT_UKERNEL_FUNCTION(xnn_f16_vsqrt_ukernel__f16c_sqrt_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2942:40: warning: argument 4 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2942 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:176:43: note: previously declared as ‘const union xnn_f16_default_params *’ 176 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:182:1: note: in expansion of macro ‘DECLARE_F16_VSQR_UKERNEL_FUNCTION’ 182 | DECLARE_F16_VSQR_UKERNEL_FUNCTION(xnn_f16_vsqr_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2994:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2994 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:132:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 132 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:12057:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 12057 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:75:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 75 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:12181:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 12181 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-scalar-1x1.c:25:39: warning: argument 13 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:132:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 132 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__8x8_reuse_multi_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-scalar-1x1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:73:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 73 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:77:1: note: in expansion of macro ‘DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION’ 77 | DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION(xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:12414:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 12414 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:45:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 45 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/avx2.c.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/packing.dir/src/packing.c.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-conv-hwc/f32-conv-hwc-3x3s2p0p1c3x4-scalar-1x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc/f32-conv-hwc-3x3s2p0p1c3x4-scalar-1x1.c:25:39: warning: argument 13 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc/f32-conv-hwc-3x3s2p0p1c3x4-scalar-1x1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:36:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 36 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:52:1: note: in expansion of macro ‘DECLARE_F32_CONV_HWC_UKERNEL_FUNCTION’ 52 | DECLARE_F32_CONV_HWC_UKERNEL_FUNCTION(xnn_f32_conv_hwc_ukernel_3x3s2p0p1c3x4__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:31:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:496:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 496 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1058:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1058 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:503:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 503 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:479:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 479 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:662:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 662 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:485:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 485 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:846:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 846 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:491:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 491 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:991:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 991 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:949:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 949 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:1242:39: warning: argument 8 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1242 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:68:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 68 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:73:1: note: in expansion of macro ‘DECLARE_F16_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 73 | DECLARE_F16_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmulcaddc_minmax_ukernel_c8__fma3_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:1223:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1223 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:981:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 981 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:1359:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1359 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:254:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 254 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:1653:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1653 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1875:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1875 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:1801:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1801 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:177:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 177 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:1759:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1759 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1876:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1876 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:1956:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1956 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:206:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 206 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:1897:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1897 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1544:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1544 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:2135:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2135 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:237:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 237 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:2015:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2015 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1545:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1545 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:2162:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2162 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:813:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 813 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:2434:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2434 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:262:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 262 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:2526:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2526 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:272:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 272 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:2683:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2683 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:274:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 274 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:2999:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2999 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:267:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 267 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:3115:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3115 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:717:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 717 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:3217:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3217 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:176:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 176 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:3322:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3322 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:186:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 186 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:3540:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3540 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1425:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1425 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:3493:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3493 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:188:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 188 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:3645:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3645 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1426:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1426 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:3782:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3782 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1171:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1171 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:3829:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3829 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:181:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 181 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:3899:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3899 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1172:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1172 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:4040:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4040 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:148:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 148 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:4058:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4058 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:511:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 511 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__fma3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:4128:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4128 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:203:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 203 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:4212:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4212 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:621:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 621 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:4944:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4944 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:561:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 561 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:5276:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5276 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:844:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 844 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:5381:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5381 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:845:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 845 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:5518:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5518 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:597:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 597 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:5635:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5635 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:598:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 598 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:5776:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5776 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:51:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 51 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:5864:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5864 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:89:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 89 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling graph/search.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/graph/search.o [ 11%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_b0_r_gemm_s8u8s32_kern_autogen.cpp.o [ 11%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_b_gemm_s8u8s32_kern_autogen.cpp.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-conv-hwc/f32-conv-hwc-3x3s2p1c3x4-scalar-1x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc/f32-conv-hwc-3x3s2p1c3x4-scalar-1x1.c:25:39: warning: argument 13 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc/f32-conv-hwc-3x3s2p1c3x4-scalar-1x1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:36:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 36 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:42:1: note: in expansion of macro ‘DECLARE_F32_CONV_HWC_UKERNEL_FUNCTION’ 42 | DECLARE_F32_CONV_HWC_UKERNEL_FUNCTION(xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1146:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1146 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_1x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_c_gemm_s8u8s32_kern_autogen.cpp.o [ 11%] Building CXX object c10/CMakeFiles/c10.dir/util/SmallVector.cpp.o [ 12%] Building CXX object c10/CMakeFiles/c10.dir/util/StringUtil.cpp.o [ 12%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_gemm_s8u8s32_kern_autogen.cpp.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc3.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1147:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1147 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_1x1_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc4.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1148:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1148 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_1x1_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:37:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 37 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:101:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 101 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_1x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:129:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 129 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:104:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 104 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_4x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:316:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 316 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:413:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 413 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_1x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:422:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 422 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:416:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 416 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_4x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:627:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 627 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:32:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 32 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:34:1: note: in expansion of macro ‘DECLARE_F16_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 34 | DECLARE_F16_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_pavgpool_minmax_ukernel_9p8x__avx2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:960:39: warning: argument 11 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 960 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:50:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 50 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:52:1: note: in expansion of macro ‘DECLARE_F16_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 52 | DECLARE_F16_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_pavgpool_minmax_ukernel_9x__avx2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:1135:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1135 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:30:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 30 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:1309:36: warning: argument 4 of type ‘const union xnn_f16_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1309 | const union xnn_f16_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:52:39: note: previously declared as ‘const union xnn_f16_elu_params *’ 52 | const union xnn_f16_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:58:1: note: in expansion of macro ‘DECLARE_F16_VELU_UKERNEL_FUNCTION’ 58 | DECLARE_F16_VELU_UKERNEL_FUNCTION(xnn_f16_velu_ukernel__avx2_rr1_p3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:1438:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1438 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:137:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 137 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:1605:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1605 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:193:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 193 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:1731:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1731 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:261:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 261 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:1857:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1857 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:352:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 352 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:2096:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2096 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:959:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 959 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:2305:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2305 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1082:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1082 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:2911:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2911 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:948:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 948 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:3077:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3077 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1005:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1005 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:3363:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3363 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1895:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1895 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:3495:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3495 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1897:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1897 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:3697:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3697 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1564:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1564 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:3842:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3842 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1566:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1566 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:4055:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4055 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:837:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 837 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:4658:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4658 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:741:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 741 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:4935:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4935 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:372:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 372 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5010:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5010 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1509:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1509 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5141:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5141 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1511:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1511 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5342:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5342 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1195:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1195 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5486:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5486 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1197:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1197 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5693:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5693 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:154:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 154 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5784:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5784 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:209:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 209 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5865:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5865 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:325:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 325 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5949:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5949 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:45:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 45 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:6048:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6048 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:624:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 624 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:6652:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6652 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:564:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 564 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:6930:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6930 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:465:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 465 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7005:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7005 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:864:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 864 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7137:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7137 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:866:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 866 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7339:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7339 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:617:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 617 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1145:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1145 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7484:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7484 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:619:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 619 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7692:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7692 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:55:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 55 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7783:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7783 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:93:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 93 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7864:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7864 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:418:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 418 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7948:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7948 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:100:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 100 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:8044:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8044 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:202:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 202 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__16x16_reuse_switch_avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building CXX object c10/CMakeFiles/c10.dir/util/ThreadLocalDebugInfo.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:8656:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 8656 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:50:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 50 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx2_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:8944:41: warning: argument 7 of type ‘const union xnn_x8_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8944 | const union xnn_x8_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:212:44: note: previously declared as ‘const union xnn_x8_transpose_params *’ 212 | const union xnn_x8_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:237:1: note: in expansion of macro ‘DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION’ 237 | DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x8_transposec_ukernel__32x32_reuse_switch_avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-2x1-acc2.c.o [ 12%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_r_gemm_s8u8s32_kern_autogen.cpp.o [ 12%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_an_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-2x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-2x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1150:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1150 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_2x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-2x1.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-2x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-2x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1149:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1149 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_2x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/avx512skx.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-3x1.c.o [ 12%] Built target microparams-init /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-3x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-3x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1151:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1151 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_3x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_at_kern_autogen.cpp.o [ 12%] Linking CXX static library ../../../lib/libprotobuf.a [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/allocator.dir/src/allocator.c.o [ 12%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_bn_kern_autogen.cpp.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-4x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-4x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-4x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1152:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1152 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_4x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_bt_kern_autogen.cpp.o [ 13%] Built target allocator [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/memory.dir/src/memory.c.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-5x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:25:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:72:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 72 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx512skx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:58:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 58 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:134:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 134 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx512skx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:91:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 91 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:198:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 198 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx512skx_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:209:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 209 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:266:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 266 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx512skx_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:333:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 333 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1087:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1087 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:939:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 939 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:950:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 950 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:1105:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1105 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1010:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1010 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-5x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-5x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1153:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1153 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_5x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:1391:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1391 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1903:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1903 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:1490:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1490 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1906:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1906 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:1677:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1677 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1568:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1568 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:1787:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1787 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1571:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1571 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:1984:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1984 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:842:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 842 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:2587:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2587 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:746:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 746 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:2864:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2864 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:377:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 377 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:2929:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2929 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1517:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1517 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:3026:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3026 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1520:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1520 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:3211:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3211 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1199:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1199 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:3319:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3319 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1202:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1202 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:3509:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3509 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:158:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 158 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:3575:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3575 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:213:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 213 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:3640:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3640 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:628:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 628 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:4244:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4244 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:568:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 568 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:4522:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4522 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:470:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 470 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:4587:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4587 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:868:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 868 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:4685:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4685 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:871:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 871 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:4871:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4871 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:621:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 621 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:4980:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4980 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:624:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 624 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:5171:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5171 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:57:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 57 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:5237:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5237 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:95:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 95 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:5296:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 5296 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:52:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 52 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512skx_vpshufb_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/mutex.dir/src/mutex.c.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/post-operation.dir/src/operators/post-operation.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:31:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:264:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 264 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Built target memory /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:461:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 461 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:175:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 175 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:561:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 561 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:204:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 204 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:676:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 676 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:235:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 235 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:866:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 866 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:277:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 277 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:933:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 933 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:281:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 281 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_7x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1098:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1098 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:191:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 191 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1179:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1179 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:195:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 195 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_7x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1441:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1441 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:331:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 331 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building CXX object c10/CMakeFiles/c10.dir/util/TypeCast.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1505:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1505 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:533:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 533 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1567:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1567 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:354:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 354 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1631:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1631 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:556:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 556 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1693:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1693 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:189:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 189 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1746:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1746 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:471:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 471 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1797:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1797 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:212:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 212 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1850:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1850 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:494:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 494 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1901:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1901 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:377:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 377 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1965:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1965 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:602:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 602 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2027:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2027 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:579:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 579 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2089:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2089 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:648:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 648 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2151:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2151 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:235:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 235 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2208:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2208 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:517:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 517 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2263:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2263 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:400:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 400 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2327:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2327 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:625:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 625 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2388:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2388 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:244:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 244 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2427:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2427 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:393:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 393 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2596:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2596 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:513:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 513 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2638:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2638 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:566:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 566 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2677:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2677 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:712:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 712 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2710:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2710 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:658:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 658 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2743:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2743 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:694:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 694 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2776:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2776 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:676:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 676 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2809:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2809 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1027:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1027 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2969:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2969 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:224:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 224 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:3003:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3003 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:607:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 607 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:3037:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3037 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1113:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1113 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-6x1.c.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/operator-utils.dir/src/operator-utils.c.o [ 13%] Built target mutex /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-6x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-6x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1154:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1154 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_6x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Built target post-operation [ 13%] Building CXX object c10/CMakeFiles/c10.dir/util/TypeList.cpp.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/avx512vbmi.c.o [ 13%] Built target libprotobuf [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc2.c.o [ 13%] Built target operator-utils [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc3.c.o [ 13%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_sum_an_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1235:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1235 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_1x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc3.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1236:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1236 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_1x1_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_sum_at_kern_autogen.cpp.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc4.c.o [ 13%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_sum_bn_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc4.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1237:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1237 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_1x1_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512vbmi.c:19:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 19 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512vbmi.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:58:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 58 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512vbmi_vpermx2b_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2-k-over-64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1234:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1234 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2-k-over-2048.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2minus-k-over-4.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1-acc2.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/operator-run.dir/src/operator-run.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2minus-k-over-8.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-3x1.c.o [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_sum_bt_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1238:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1238 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_2x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1239:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1239 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_2x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-4x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-3x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-3x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1240:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1240 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_3x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/EmbeddingSpMDM.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-4x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-4x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1241:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1241 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_4x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2minus-k-over-16.c.o [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmBfloat16ConvertAvx512.cc.o [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/EmbeddingSpMDMAvx2.cc.o [ 14%] Building CXX object c10/CMakeFiles/c10.dir/util/TypeTraits.cpp.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc2.c.o [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_b0_b_gemm_s8u8s32_kern_autogen.cpp.o [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_b0_c_gemm_s8u8s32_kern_autogen.cpp.o [ 14%] Built target packing [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2minus-k-over-64.c.o [ 14%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/error.cc.o [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_b0_gemm_s8u8s32_kern_autogen.cpp.o [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_b0_r_gemm_s8u8s32_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1310:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1310 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_1x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CudaDeviceProperties.cpp.o [ 14%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CudaUtil.cpp.o [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_b_gemm_s8u8s32_kern_autogen.cpp.o [ 14%] Building CXX object c10/CMakeFiles/c10.dir/util/Type_demangle.cpp.o [ 14%] Building CXX object c10/CMakeFiles/c10.dir/util/Type_no_demangle.cpp.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc3.c.o [ 14%] Built target operator-run [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_c_gemm_s8u8s32_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc3.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1311:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1311 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_1x1_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_gemm_s8u8s32_kern_autogen.cpp.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc4.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1312:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1312 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_1x1_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc5.c.o [ 14%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiActivityApi.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc5.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc5.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1313:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1313 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_1x1_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/helpers.cc.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1.c.o Compiling graph/rings.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/graph/rings.o [ 14%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/address.cc.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1309:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1309 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1315:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1315 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_2x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1-acc3.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1-acc3.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1-acc3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1316:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1316 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_2x1_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1314:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1314 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_2x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1.c.o [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/EmbeddingSpMDMAvx512.cc.o [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmBfloat16ConvertAvx2.cc.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2minus-k-over-2048.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1318:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1318 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_3x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc2.c.o [ 14%] Building CXX object c10/CMakeFiles/c10.dir/util/Unicode.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1317:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1317 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_3x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/allocator.cc.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/vlog.c.o [ 14%] Building CXX object c10/CMakeFiles/c10.dir/util/UniqueVoidPtr.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1406:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1406 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_1x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object c10/CMakeFiles/c10.dir/util/complex_math.cpp.o [ 14%] Building CXX object c10/CMakeFiles/c10.dir/util/flags_use_gflags.cpp.o [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/EmbeddingSpMDMNBit.cc.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc3.c.o [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/ExecuteKernel.cc.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc3.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1407:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1407 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_1x1_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc4.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1408:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1408 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_1x1_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CudaDeviceProperties.cpp: In function ‘const std::vector libkineto::createDeviceProps()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CudaDeviceProperties.cpp:31:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 31 | for (size_t i = 0; i < device_count; ++i) { | ~~^~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmFloat16ConvertAvx512.cc.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc5.c.o [ 14%] Building CXX object c10/CMakeFiles/c10.dir/util/flags_use_no_gflags.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc5.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc5.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1409:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1409 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_1x1_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmSparseDenseAvx512.cc.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1.c.o [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmSparseDenseInt8Avx512.cc.o [ 14%] Building CXX object c10/CMakeFiles/c10.dir/util/int128.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1405:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1405 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmSparseDenseVectorInt8Avx512.cc.o [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_r_gemm_s8u8s32_kern_autogen.cpp.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1411:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1411 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_2x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc3.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1412:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1412 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_2x1_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiActivityApi.cpp: In member function ‘void libkineto::CuptiActivityApi::bufferRequested(uint8_t**, size_t*, size_t*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiActivityApi.cpp:132:40: warning: comparison of integer expressions of different signedness: ‘std::map >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 132 | if (allocatedGpuTraceBuffers_.size() >= maxGpuBufferCount_) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1410:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1410 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_2x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object c10/CMakeFiles/c10.dir/util/intrusive_ptr.cpp.o [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/QuantUtilsAvx512.cc.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1414:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1414 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_3x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmFloat16ConvertAvx2.cc.o [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_an_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_f32_copy_at_kern_autogen.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx2_f32_copy_at_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_f32_copy_at_kern_autogen.cpp:29:6: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 29 | void jit_avx2_f32_copy_at_kern::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/error.cc.o [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_at_kern_autogen.cpp.o [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_bn_kern_autogen.cpp.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1413:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1413 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_3x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p1c-minmax-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:391:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 391 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p1c-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:390:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 390 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/UtilsAvx512.cc.o Compiling graph/trees.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/graph/trees.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar-acc2.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar.c.o [ 14%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/fd.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:386:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 386 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_3p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:385:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 385 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_3p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:393:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 393 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Built target microkernels-prod [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Generating ../../../include/sleef.h In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:392:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 392 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Generating sleef.h: mkrename cinz_ 2 4 __m128d __m128 __m128i __m128i __SSE2__ [ 15%] Generating include/renameavx512fnofma.h Generating renameavx512fnofma.h: mkrename cinz_ 8 16 avx512fnofma Generating sleef.h: mkrename cinz_ 2 4 __m128d __m128 __m128i __m128i __SSE2__ sse2 [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar-acc2.c.o Generating sleef.h: mkrename cinz_ 2 4 __m128d __m128 __m128i __m128i __SSE2__ sse4 Generating sleef.h: mkrename cinz_ 4 8 __m256d __m256 __m128i struct\ {\ __m128i\ x,\ y;\ } __AVX__ [ 15%] Building CXX object c10/CMakeFiles/c10.dir/util/numa.cpp.o Generating sleef.h: mkrename cinz_ 4 8 __m256d __m256 __m128i struct\ {\ __m128i\ x,\ y;\ } __AVX__ avx Generating sleef.h: mkrename finz_ 4 8 __m256d __m256 __m128i struct\ {\ __m128i\ x,\ y;\ } __AVX__ fma4 /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:388:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 388 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_3p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Generating sleef.h: mkrename finz_ 4 8 __m256d __m256 __m128i __m256i __AVX__ avx2 Generating sleef.h: mkrename finz_ 2 4 __m128d __m128 __m128i __m128i __SSE2__ avx2128 Generating sleef.h: mkrename finz_ 8 16 __m512d __m512 __m256i __m512i __AVX512F__ [ 15%] Generating include/renamecuda.h Generating renamecuda.h: mkrename finz_ 1 1 cuda [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar.c.o Generating sleef.h: mkrename finz_ 8 16 __m512d __m512 __m256i __m512i __AVX512F__ avx512f [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p1c-minmax-scalar-acc2.c.o Compiling graph/xml.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/graph/xml.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_core_f32_copy_at_kern_part1_autogen.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_copy_at_kern::generate_part1(const Xbyak::Label&, const Xbyak::Label&, const Xbyak::Label&, const Xbyak::Label&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_core_f32_copy_at_kern_part1_autogen.cpp:51:6: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 51 | void jit_avx512_core_f32_copy_at_kern::generate_part1(const Xbyak::Label &l4000, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Generating sleef.h: mkrename cinz_ 8 16 __m512d __m512 __m256i __m512i __AVX512F__ avx512fnofma [ 15%] Building CXX object c10/CMakeFiles/c10.dir/util/signal_handler.cpp.o [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p1c-minmax-scalar.c.o Generating sleef.h: mkrename cinz_ 1 1 double float int32_t int32_t __STDC__ purec /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:401:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 401 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Generating sleef.h: mkrename finz_ 1 1 double float int32_t int32_t FP_FAST_FMA purecfma /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:387:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 387 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_3p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 15%] Built target headers /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:400:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 400 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmI8Depthwise3DAvx2.cc.o [ 16%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmFP16UKernelsAvx512.cc.o [ 16%] Built target renameAVX512FNOFMA.h_generated [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p1c-scalar-acc2.c.o [ 16%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmFP16UKernelsAvx512_256.cc.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p1c-scalar.c.o [ 16%] Building C object sleef/src/libm/CMakeFiles/sleefavx2.dir/sleefsimdsp.c.o [ 16%] Generating alias_avx512f.h /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:396:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 396 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_4p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/fd.cc: In member function ‘tensorpipe::Error tensorpipe::Fd::readFull(void*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/fd.cc:50:10: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 50 | if (rv != count) { | ~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/fd.cc: In member function ‘tensorpipe::Error tensorpipe::Fd::writeFull(const void*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/fd.cc:62:10: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 62 | if (rv != count) { | ~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:395:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 395 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_4p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx2.dir/sleefsimdsp.c.o [ 16%] Built target alias_avx512f.h_generated [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p2c-minmax-scalar-acc2.c.o [ 16%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/socket.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:403:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 403 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmI8DepthwiseAvx2.cc.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p2c-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:402:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 402 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:398:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 398 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_4p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/gemm/gemm.hpp:30, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/ref_rnn.hpp:30, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_rnn_list.cpp:19: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:635:22, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:709:38: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_gru_cell_postgemm_1_bwd.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/postgemm_dispatcher.hpp:30, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/ref_rnn.hpp:34: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:703:10: note: object ‘dst’ of size 8 703 | void to_float(const Vmm &dst, const Xbyak::Address &src, data_type_t src_dt, | ^~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:600:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:44: note: object ‘s’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::divps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:216:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vdivps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:614:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:613:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:51: note: object ‘tmp1’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:397:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 397 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_4p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_bt_kern_autogen.cpp.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:600:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:44: note: object ‘s’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::divps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:216:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vdivps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:614:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:613:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:51: note: object ‘tmp1’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar-acc2.c.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:411:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 411 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:410:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 410 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_sum_an_kern_autogen.cpp.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar-acc2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 16%] Building C object sleef/src/libm/CMakeFiles/sleefavx2128.dir/sleefsimdsp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:406:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 406 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_9p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar.c.o [ 16%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx2128.dir/sleefsimdsp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:405:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 405 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_9p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:413:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 413 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:412:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 412 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-scalar-acc2.c.o [ 16%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/system.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:408:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 408 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_9p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:407:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 407 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_9p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx2.dir/sleefsimddp.c.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p1c-minmax-scalar-acc2.c.o [ 16%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:421:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 421 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context_impl.cc.o [ 16%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/error.cc.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p1c-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:420:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 420 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/ExecuteKernelU8S8.cc.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p1c-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:416:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 416 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_25p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/Fbgemm.cc.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p1c-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:415:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 415 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_25p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p2c-minmax-scalar-acc2.c.o [ 17%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx2128.dir/sleefsimddp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:423:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 423 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object c10/CMakeFiles/c10.dir/util/thread_name.cpp.o [ 17%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_sum_at_kern_autogen.cpp.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p2c-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:422:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 422 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object sleef/src/libm/CMakeFiles/sleefavx2.dir/sleefsimddp.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar-acc2.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:418:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 418 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_25p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:417:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 417 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_25p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:635:22, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:709:38: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:703:10: note: object ‘dst’ of size 8 703 | void to_float(const Vmm &dst, const Xbyak::Address &src, data_type_t src_dt, | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:147:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 147 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_bitcast_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object sleef/src/libm/CMakeFiles/sleefavx2128.dir/sleefsimddp.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x2.c.o [ 17%] Building C object sleef/src/libm/CMakeFiles/sleeffma4.dir/sleefsimdsp.c.o [ 17%] Building C object sleef/src/libm/CMakeFiles/sleefdetfma4.dir/sleefsimdsp.c.o [ 17%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_sum_bn_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:148:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 148 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_bitcast_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x3.c:21:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:149:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 149 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_bitcast_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:150:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 150 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_bitcast_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x1.c.o [ 17%] Building C object sleef/src/libm/CMakeFiles/sleeffma4.dir/sleefsimddp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x1.c:22:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:152:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 152 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_fabsf_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x2.c:22:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:153:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 153 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_fabsf_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Built target sleefdetavx2 [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x3.c.o [ 17%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_sum_bt_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x3.c:22:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:154:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 154 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_fabsf_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmI8DepthwisePerChannelQuantAvx2.cc.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x4.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gavgpool-cw/f32-gavgpool-cw-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x4.c:22:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:155:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 155 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_fabsf_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool-cw/f32-gavgpool-cw-scalar-x1.c:17:41: warning: argument 5 of type ‘const union xnn_f32_gavgpool_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 17 | const union xnn_f32_gavgpool_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool-cw/f32-gavgpool-cw-scalar-x1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:314:44: note: previously declared as ‘const union xnn_f32_gavgpool_params *’ 314 | const union xnn_f32_gavgpool_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:317:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_CW_UKERNEL_FUNCTION’ 317 | DECLARE_F32_GAVGPOOL_CW_UKERNEL_FUNCTION(xnn_f32_gavgpool_cw_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmBfloat16Convert.cc.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-scalar-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-scalar-c1.c:20:44: warning: argument 8 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:31:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 31 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:34:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 34 | DECLARE_F32_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_gavgpool_minmax_ukernel_7p7x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gavgpool/f32-gavgpool-7x-minmax-scalar-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7x-minmax-scalar-c1.c:19:44: warning: argument 7 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 19 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:49:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 49 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:52:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 52 | DECLARE_F32_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_gavgpool_minmax_ukernel_7x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object sleef/src/libm/CMakeFiles/sleefavx.dir/sleefsimdsp.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x4-minmax-scalar.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x4-relu-scalar.c.o Generating rules > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/Makefile.rules /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x4-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:459:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 459 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x4-relu-scalar.c:26:37: warning: argument 10 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x4-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:135:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 135 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:454:1: note: in expansion of macro ‘DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION’ 454 | DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION(xnn_f32_gemm_relu_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx.dir/sleefsimdsp.c.o [ 17%] Built target sleefdetavx2128 [ 17%] Building CXX object c10/CMakeFiles/c10.dir/util/typeid.cpp.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x4-scalar.c.o [ 17%] Building C object sleef/src/libm/CMakeFiles/sleefdetfma4.dir/sleefsimddp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x4-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x4-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:122:43: note: previously declared as ‘const union xnn_f32_default_params *’ 122 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:449:1: note: in expansion of macro ‘DECLARE_F32_GEMM_UKERNEL_FUNCTION’ 449 | DECLARE_F32_GEMM_UKERNEL_FUNCTION(xnn_f32_gemm_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-2x4-minmax-scalar.c.o [ 17%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener.cc.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_i8.cu [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-2x4-relu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-2x4-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-2x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:460:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 460 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-2x4-relu-scalar.c:26:37: warning: argument 10 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-2x4-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:135:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 135 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:455:1: note: in expansion of macro ‘DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION’ 455 | DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION(xnn_f32_gemm_relu_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-2x4-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-2x4-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-2x4-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:122:43: note: previously declared as ‘const union xnn_f32_default_params *’ 122 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:450:1: note: in expansion of macro ‘DECLARE_F32_GEMM_UKERNEL_FUNCTION’ 450 | DECLARE_F32_GEMM_UKERNEL_FUNCTION(xnn_f32_gemm_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x2-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:461:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 461 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiActivityPlatform.cpp.o [ 17%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener_impl.cc.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x2-relu-scalar.c.o [ 17%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe.cc.o [ 17%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm_bf16_convolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2-relu-scalar.c:26:37: warning: argument 10 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:135:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 135 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:456:1: note: in expansion of macro ‘DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION’ 456 | DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION(xnn_f32_gemm_relu_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x2-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:122:43: note: previously declared as ‘const union xnn_f32_default_params *’ 122 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:451:1: note: in expansion of macro ‘DECLARE_F32_GEMM_UKERNEL_FUNCTION’ 451 | DECLARE_F32_GEMM_UKERNEL_FUNCTION(xnn_f32_gemm_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x4-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x4-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:462:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 462 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x4-relu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x4-relu-scalar.c:26:37: warning: argument 10 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x4-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:135:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 135 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:457:1: note: in expansion of macro ‘DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION’ 457 | DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION(xnn_f32_gemm_relu_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiCallbackApi.cpp.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x4-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x4-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x4-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:122:43: note: previously declared as ‘const union xnn_f32_default_params *’ 122 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:452:1: note: in expansion of macro ‘DECLARE_F32_GEMM_UKERNEL_FUNCTION’ 452 | DECLARE_F32_GEMM_UKERNEL_FUNCTION(xnn_f32_gemm_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x4-minmax-scalar.c.o [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmSparseDenseAvx2.cc.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-2x4-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-2x4-minmax-scalar.c:27:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-2x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:668:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 668 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x4-minmax-scalar.c:27:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:667:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 667 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x4-minmax-scalar.c.o [ 17%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiEventApi.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x4-minmax-scalar.c:27:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:669:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 669 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p1.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p2.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p4.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c1.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c2.c.o [ 17%] Built target sleefdetfma4 [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c4.c.o [ 17%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm_bf16_inner_product.cpp.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x4-minmax-scalar.c:28:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:373:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 373 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-relu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x4-relu-scalar.c:28:37: warning: argument 12 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x4-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:50:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 50 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:368:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION’ 368 | DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION(xnn_f32_igemm_relu_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiCallbackApi.cpp: In member function ‘void libkineto::CuptiCallbackApi::__callback_switchboard(CUpti_CallbackDomain, CUpti_CallbackId, const CUpti_CallbackData*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiCallbackApi.cpp:148:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 148 | it != cblist->end() && i < MAX_CB_FNS_PER_CB; | ~~^~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x4-scalar.c:28:40: warning: argument 12 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x4-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:35:43: note: previously declared as ‘const union xnn_f32_default_params *’ 35 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:363:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_UKERNEL_FUNCTION’ 363 | DECLARE_F32_IGEMM_UKERNEL_FUNCTION(xnn_f32_igemm_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-2x4-minmax-scalar.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-2x4-relu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-2x4-minmax-scalar.c:28:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-2x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:374:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 374 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmSparseDenseInt8Avx2.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-2x4-relu-scalar.c:28:37: warning: argument 12 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-2x4-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:50:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 50 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:369:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION’ 369 | DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION(xnn_f32_igemm_relu_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-2x4-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-2x4-scalar.c:28:40: warning: argument 12 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-2x4-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:35:43: note: previously declared as ‘const union xnn_f32_default_params *’ 35 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:364:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_UKERNEL_FUNCTION’ 364 | DECLARE_F32_IGEMM_UKERNEL_FUNCTION(xnn_f32_igemm_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Built target sleefavx2128 [ 17%] Built target sleefavx2 [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/OptimizedKernelsAvx2.cc.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x2-minmax-scalar.c.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_i64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_u32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_i32.cu [ 17%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx.dir/sleefsimddp.c.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_u8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_u64.cu [ 17%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiMetricApi.cpp.o [ 17%] Building C object sleef/src/libm/CMakeFiles/sleefsse4.dir/sleefsimdsp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2-minmax-scalar.c:28:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:375:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 375 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_f16.cu [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmConv.cc.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_f32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_f64.cu [ 17%] Building C object sleef/src/libm/CMakeFiles/sleefdetsse4.dir/sleefsimdsp.c.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_bf16.cu [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x2-relu-scalar.c.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_i8.cu [ 17%] Building C object sleef/src/libm/CMakeFiles/sleefsse2.dir/sleefsimdsp.c.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_u8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_i32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_u32.cu [ 17%] Building C object sleef/src/libm/CMakeFiles/sleefsse2.dir/sleefsimddp.c.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_i64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2-relu-scalar.c:28:37: warning: argument 12 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:50:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 50 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:370:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION’ 370 | DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION(xnn_f32_igemm_relu_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_u64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_f16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_f32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_f64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_bf16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_i8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_u8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_i32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_u32.cu [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x2-scalar.c.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_i64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_u64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_f16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_f32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_f64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_bf16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_i8.cu [ 17%] Built target sleeffma4 Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_u8.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2-scalar.c:28:40: warning: argument 12 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:35:43: note: previously declared as ‘const union xnn_f32_default_params *’ 35 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:365:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_UKERNEL_FUNCTION’ 365 | DECLARE_F32_IGEMM_UKERNEL_FUNCTION(xnn_f32_igemm_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_i32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_u32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_i64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_u64.cu [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/PackDepthwiseConvMatrixAvx2.cc.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_f16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_f32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_f64.cu [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x4-minmax-scalar.c.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_bf16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_i8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_u8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_i32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_u32.cu [ 17%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/injectors/injector_utils.cpp.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_i64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x4-minmax-scalar.c:28:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:376:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 376 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_u64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_f16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_f32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_f64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_bf16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f32.cu [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x4-relu-scalar.c.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_bf16.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_i8.cu [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x4-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x4-relu-scalar.c:28:37: warning: argument 12 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x4-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:50:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 50 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:371:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION’ 371 | DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION(xnn_f32_igemm_relu_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x4-scalar.c:28:40: warning: argument 12 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x4-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:35:43: note: previously declared as ‘const union xnn_f32_default_params *’ 35 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:366:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_UKERNEL_FUNCTION’ 366 | DECLARE_F32_IGEMM_UKERNEL_FUNCTION(xnn_f32_igemm_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-maxpool/f32-maxpool-9p8x-minmax-scalar-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-maxpool/f32-maxpool-9p8x-minmax-scalar-c1.c:21:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-maxpool/f32-maxpool-9p8x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:48:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 48 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:51:1: note: in expansion of macro ‘DECLARE_F32_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 51 | DECLARE_F32_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_f32_maxpool_minmax_ukernel_9p8x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-pavgpool/f32-pavgpool-9p8x-minmax-scalar-c1.c.o [ 17%] Building C object sleef/src/libm/CMakeFiles/sleefdetsse4.dir/sleefsimddp.c.o [ 17%] Building C object sleef/src/libm/CMakeFiles/sleefdetsse2.dir/sleefsimdsp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9p8x-minmax-scalar-c1.c:24:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9p8x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:69:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 69 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:72:1: note: in expansion of macro ‘DECLARE_F32_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 72 | DECLARE_F32_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_pavgpool_minmax_ukernel_9p8x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-pavgpool/f32-pavgpool-9x-minmax-scalar-c1.c.o [ 17%] Linking CXX shared library ../lib/libc10.so /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9x-minmax-scalar-c1.c:23:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:91:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 91 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:94:1: note: in expansion of macro ‘DECLARE_F32_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 94 | DECLARE_F32_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_pavgpool_minmax_ukernel_9x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object sleef/src/libm/CMakeFiles/sleefdetsse2.dir/sleefsimddp.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ppmm/gen/f32-ppmm-2x4-minmax-scalar.c.o [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/QuantUtilsAvx2.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-2x4-minmax-scalar.c:25:37: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-2x4-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:29:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:42:1: note: in expansion of macro ‘DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION’ 42 | DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_ppmm_minmax_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ppmm/gen/f32-ppmm-3x3-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-3x3-minmax-scalar.c:25:37: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-3x3-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:29:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:43:1: note: in expansion of macro ‘DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION’ 43 | DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_ppmm_minmax_ukernel_3x3__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object sleef/src/libm/CMakeFiles/sleefsse4.dir/sleefsimddp.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ppmm/gen/f32-ppmm-4x2-minmax-scalar.c.o [ 17%] Built target c10 [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/spmmUtilsAvx2.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-4x2-minmax-scalar.c:25:37: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-4x2-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:29:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:44:1: note: in expansion of macro ‘DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION’ 44 | DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_ppmm_minmax_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ppmm/gen/f32-ppmm-4x4-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx_kernel_sgemm_kern_part2_autogen.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx_kernel_sgemm_kern::generate_part2(Xbyak::Label&, Xbyak::Label&, Xbyak::Label&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx_kernel_sgemm_kern_part2_autogen.cpp:26:6: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 26 | void jit_avx_kernel_sgemm_kern::generate_part2( | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-scalar-2x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-4x4-minmax-scalar.c:25:37: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-4x4-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:29:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:45:1: note: in expansion of macro ‘DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION’ 45 | DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_ppmm_minmax_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/UtilsAvx2.cc.o [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmFP16UKernelsAvx2.cc.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-scalar-2x4.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:215:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 215 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_fmagic_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object sleef/src/libm/CMakeFiles/sleefavx.dir/sleefsimddp.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x2.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x3.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:216:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 216 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_fmagic_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x3.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:217:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 217 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_fmagic_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x1.c.o [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmFPCommon.cc.o [ 17%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/injectors/jit_uni_binary_injector.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:218:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 218 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_fmagic_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:220:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 220 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_imagic_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/injectors/jit_uni_eltwise_injector.cpp.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:221:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 221 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_imagic_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x3.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x3.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:222:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 222 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_imagic_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:223:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 223 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_imagic_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x1.c.o [ 18%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmFP16.cc.o [ 18%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/injectors/jit_uni_postops_injector.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x1.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:225:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 225 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_lrintf_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x2.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:226:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 226 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_lrintf_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x3.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:227:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 227 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_lrintf_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x4.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x1.c.o [ 18%] Built target sleefdetavx /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x4.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:228:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 228 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_lrintf_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:283:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 283 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_fmagic_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/ip_convolution.cpp.o [ 18%] Building C object sleef/src/libm/CMakeFiles/sleefpurec_scalar.dir/sleefsimdsp.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:284:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 284 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_fmagic_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x3.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:285:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 285 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_fmagic_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx2_1x1_conv_kernel_f32.cpp.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:286:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 286 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_fmagic_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x1.c.o [ 18%] Built target dnnl_graph_backend_dnnl /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:288:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 288 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_imagic_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object sleef/src/libm/CMakeFiles/sleefdetpurec_scalar.dir/sleefsimdsp.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:289:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 289 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_imagic_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x3.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:290:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 290 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_imagic_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:291:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 291 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_imagic_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx2_1x1_convolution.cpp.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x1.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:293:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 293 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_lrintf_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Built target sleefdetsse4 [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x2.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x3.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_u8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_i32.cu [ 18%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx2_conv_kernel_f32.cpp.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_u32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x3.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x2.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:295:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 295 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_lrintf_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:294:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 294 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_lrintf_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_i64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_u64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_f16.cu [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x4.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_f32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_f64.cu [ 18%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx2_convolution.cpp.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_bf16.cu [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x1.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:635:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:619:20: note: object ‘dst’ of size 8 619 | void deq_h(Vmm dst, Xbyak::Address src, int in_len) { | ~~~~^~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_i8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_u8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_i32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x4.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:296:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 296 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_lrintf_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_u32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_i64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x1.c:26:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:205:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 205 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_lut64_p2_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_u64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_f16.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_f32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_f64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_bf16.cu [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x2-acc2.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_i8.cu [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x2.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_u8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_i32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_u32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_i64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x2.c:26:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:206:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 206 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_lut64_p2_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x2-acc2.c:26:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x2-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:207:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 207 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_lut64_p2_x2_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_u64.cu [ 18%] Building C object sleef/src/libm/CMakeFiles/sleefdetpurec_scalar.dir/sleefsimddp.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_f16.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_f32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_f64.cu [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4-acc2.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_bf16.cu [ 18%] Building C object sleef/src/libm/CMakeFiles/sleefpurec_scalar.dir/sleefsimddp.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_i8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_u8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_i32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4-acc2.c:26:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:209:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 209 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_lut64_p2_x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_u32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_i64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_u64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_f16.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_f32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_f64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_bf16.cu [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4-acc4.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_i8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_u8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_i32.cu [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4-acc4.c:26:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:210:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 210 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_lut64_p2_x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_u32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_i64.cu [ 18%] Built target sleefdetsse2 Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_u64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_f16.cu [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x1.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_f32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4.c:26:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:208:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 208 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_lut64_p2_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_f64.cu [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x2-acc2.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_bf16.cu [ 18%] Building C object sleef/src/libm/CMakeFiles/sleefpurecfma_scalar.dir/sleefsimdsp.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i8.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x1.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:198:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 198 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_p5_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x2-acc2.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x2-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:200:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 200 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_p5_x2_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x2.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u64.cu [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x2.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f16.cu In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:199:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 199 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_p5_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f32.cu [ 18%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiRangeProfiler.cpp.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_bf16.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4-acc2.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:202:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 202 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_p5_x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_i8.cu [ 18%] Building C object sleef/src/libm/CMakeFiles/sleefpurecfma_scalar.dir/sleefsimddp.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4-acc4.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:203:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 203 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_p5_x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:201:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 201 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_p5_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-rmax/f32-rmax-scalar.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-1x1-minmax-scalar-pipelined.c.o [ 18%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_common_1x1_conv_kernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-1x1-minmax-scalar-pipelined.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-1x1-minmax-scalar-pipelined.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:32:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 32 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_1x1__scalar_pipelined) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-1x1-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-1x1-minmax-scalar.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-1x1-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:31:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 31 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_1x1__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar-pipelined.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar.c.o [ 18%] Built target fbgemm_avx512 [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar-pipelined.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar-pipelined.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:34:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 34 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_2x1__scalar_pipelined) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:33:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 33 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_2x1__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar-pipelined.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar-pipelined.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar-pipelined.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:42:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 42 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_4x1__scalar_pipelined) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:41:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 41 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_4x1__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar-pipelined.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar-pipelined.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar-pipelined.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:63:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 63 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_8x1__scalar_pipelined) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:62:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 62 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_8x1__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_common_1x1_convolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiRangeProfiler.cpp: In member function ‘void libkineto::CuptiRangeProfilerSession::addRangeEvents(const libkineto::CuptiProfilerResult&, const libkineto::CuptiRBProfilerSession*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiRangeProfiler.cpp:152:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 152 | if (num_kernels != result.rangeVals.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiRangeProfiler.cpp:182:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 182 | for (int i = 0; i < metricNames.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x2-minmax-scalar.c.o [ 18%] Built target sleefdetpurec_scalar [ 18%] Building C object sleef/src/libm/CMakeFiles/sleefdetpurecfma_scalar.dir/sleefsimdsp.c.o [ 18%] Generating dispsse.c [ 18%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_common_conv_kernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x2-minmax-scalar.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x2-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:76:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 76 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_8x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/error.cc.o [ 19%] Built target dispsse.c_generated [ 19%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/channel_impl.cc.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x4-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x4-minmax-scalar.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x4-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:78:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 78 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_8x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_common_convolution.cpp.o [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_common_resampling.cpp.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:334:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 334 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x4.c.o [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_1x1_conv_kernel.cpp.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x2.c.o [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefdetpurecfma_scalar.dir/sleefsimddp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:336:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 336 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:335:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 335 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_1x1_convolution.cpp.o [ 19%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiRangeProfilerApi.cpp.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:337:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 337 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:420:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 420 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vadd_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In function ‘void tensorpipe::{anonymous}::parseDescriptorReplyOfMessage(tensorpipe::WriteOperation&, tensorpipe::DescriptorReply)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:35:40: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 35 | for (size_t tensorIdx = 0; tensorIdx < numTensors; ++tensorIdx) { | ~~~~~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In function ‘std::shared_ptr > tensorpipe::{anonymous}::makeDescriptorForMessage(const tensorpipe::WriteOperation&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:77:39: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 77 | for (int payloadIdx = 0; payloadIdx < op.message.payloads.size(); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:87:37: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 87 | for (int tensorIdx = 0; tensorIdx < op.tensors.size(); ++tensorIdx) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-relu-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:421:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 421 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vadd_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Generating dispavx.c [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-relu-scalar-x4.c.o [ 19%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/code_generator.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:422:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 422 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vadd_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Built target dispavx.c_generated [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_conv_kernel.cpp.o [ 19%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiRangeProfilerConfig.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In member function ‘void tensorpipe::PipeImpl::expectReadCall(ReadOpIter)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:869:18: warning: unused variable ‘op’ [-Wunused-variable] 869 | ReadOperation& op = *opIter; | ^~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-relu-scalar-x8.c.o [ 19%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/init.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:423:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 423 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vadd_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-x1.c.o [ 19%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/add.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:248:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 248 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vadd_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-x2.c.o [ 20%] Built target sleefsse2 [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-x4.c.o [ 20%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/average-pooling.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:249:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 249 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vadd_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:250:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 250 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vadd_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::ReadOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::ReadOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:391:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 20%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/channel-shuffle.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::WriteOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::WriteOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:580:29: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-x8.c.o [ 20%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmFloat16Convert.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:251:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 251 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vadd_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmI64.cc.o [ 20%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/clamp.c.o [ 20%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/convolution.c.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x1.c.o [ 20%] Built target sleefdetpurecfma_scalar In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::SendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::SendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:51:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::RecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::RecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:118:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:536:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 536 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/deconvolution.c.o [ 20%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiNvPerfMetric.cpp.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:537:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 537 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/fully-connected.c.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:538:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 538 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Built target sleefpurecfma_scalar [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x8.c.o [ 20%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/global-average-pooling.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:539:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 539 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmSparseDense.cc.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x1.c.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x2.c.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:669:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 669 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vaddc_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:668:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 668 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vaddc_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:670:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 670 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vaddc_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/leaky-relu.c.o [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_convolution.cpp.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x8.c.o [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_deconvolution.cpp.o [ 20%] Built target sleefsse4 /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/code_generator.cc: In member function ‘virtual bool google::protobuf::compiler::CodeGenerator::GenerateAll(const std::vector&, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/code_generator.cc:56:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 56 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/code_generator.cc: In function ‘void google::protobuf::compiler::ParseGeneratorParameter(const std::string&, std::vector, std::__cxx11::basic_string > >*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/code_generator.cc:106:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 106 | for (int i = 0; i < parts.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:671:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 671 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vaddc_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-scalar-x1.c.o [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_bf16_1x1_conv_kernel.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/serializer.h:24, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/nop_types.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h: In instantiation of ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = std::pair; T = std::__cxx11::basic_string; Hash = std::hash >; KeyEqual = std::equal_to >; Allocator = std::allocator, std::__cxx11::basic_string > >; Type = std::unordered_map, std::__cxx11::basic_string >]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map, std::__cxx11::basic_string >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/types/detail/member_pointer.h:56:33: required from ‘static constexpr nop::Status nop::MemberPointer::Write(const Class&, Writer*, MemberList) [with Writer = tensorpipe::NopWriter; MemberList = nop::MemberList, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transport, void*, 0, void>, nop::MemberPointer, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::address, void*, 0, void>, nop::MemberPointer, std::equal_to, std::allocator > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transportRegistrationIds, void*, 0, void>, nop::MemberPointer, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transportDomainDescriptor, void*, 0, void>, nop::MemberPointer, std::allocator >, std::vector >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::vector > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelRegistrationIds, void*, 0, void>, nop::MemberPointer, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelDeviceDescriptors, void*, 0, void>, nop::MemberPointer, std::__cxx11::basic_string, std::allocator >, std::hash >, std::equal_to >, std::allocator, std::__cxx11::basic_string, std::allocator > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelForDevicePair, void*, 0, void> >; T = std::unordered_map, std::__cxx11::basic_string >; Class = tensorpipe::BrochureAnswer; T Class::* Pointer = &tensorpipe::BrochureAnswer::channelForDevicePair]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:103:41: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 7; Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:59:26: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WritePayload(nop::EncodingByte, const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:232:35: required from ‘nop::Status tensorpipe::NopHolder::write(tensorpipe::NopWriter&) const [with T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:231:21: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: warning: loop variable ‘element’ of type ‘const std::pair, std::__cxx11::basic_string >&’ binds to a temporary constructed from type ‘const std::__detail::_Node_const_iterator, std::__cxx11::basic_string >, false, false>::value_type’ {aka ‘const std::pair, std::__cxx11::basic_string >’} [-Wrange-loop-construct] 142 | for (const std::pair& element : value) { | ^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: note: use non-reference type ‘const std::pair, std::__cxx11::basic_string >’ to make the copy explicit or ‘const std::__detail::_Node_const_iterator, std::__cxx11::basic_string >, false, false>::value_type&’ {aka ‘const std::pair, std::__cxx11::basic_string >&’} to prevent copying /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h: In instantiation of ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = std::__cxx11::basic_string; T = std::unordered_map >; Hash = std::hash >; KeyEqual = std::equal_to >; Allocator = std::allocator, std::unordered_map > > >; Type = std::unordered_map, std::unordered_map > >]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map, std::unordered_map > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/types/detail/member_pointer.h:56:33: required from ‘static constexpr nop::Status nop::MemberPointer::Write(const Class&, Writer*, MemberList) [with Writer = tensorpipe::NopWriter; MemberList = nop::MemberList, std::allocator >, std::__cxx11::basic_string, std::allocator >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::__cxx11::basic_string, std::allocator > > > > tensorpipe::Brochure::*, &tensorpipe::Brochure::transportDomainDescriptors, void*, 0, void>, nop::MemberPointer, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > > > > > tensorpipe::Brochure::*, &tensorpipe::Brochure::channelDeviceDescriptors, void*, 0, void> >; T = std::unordered_map, std::unordered_map > >; Class = tensorpipe::Brochure; T Class::* Pointer = &tensorpipe::Brochure::channelDeviceDescriptors]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:103:41: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 2; Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:59:26: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WritePayload(nop::EncodingByte, const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:232:35: required from ‘nop::Status tensorpipe::NopHolder::write(tensorpipe::NopWriter&) const [with T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:231:21: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: warning: loop variable ‘element’ of type ‘const std::pair, std::unordered_map > >&’ binds to a temporary constructed from type ‘const std::__detail::_Node_const_iterator, std::unordered_map > >, false, true>::value_type’ {aka ‘const std::pair, std::unordered_map > >’} [-Wrange-loop-construct] /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: note: use non-reference type ‘const std::pair, std::unordered_map > >’ to make the copy explicit or ‘const std::__detail::_Node_const_iterator, std::unordered_map > >, false, true>::value_type&’ {aka ‘const std::pair, std::unordered_map > >&’} to prevent copying [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_bf16_1x1_convolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h: In instantiation of ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = std::__cxx11::basic_string; T = std::__cxx11::basic_string; Hash = std::hash >; KeyEqual = std::equal_to >; Allocator = std::allocator, std::__cxx11::basic_string > >; Type = std::unordered_map, std::__cxx11::basic_string >]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map, std::__cxx11::basic_string >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/types/detail/member_pointer.h:56:33: required from ‘static constexpr nop::Status nop::MemberPointer::Write(const Class&, Writer*, MemberList) [with Writer = tensorpipe::NopWriter; MemberList = nop::MemberList, std::allocator >, std::__cxx11::basic_string, std::allocator >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::__cxx11::basic_string, std::allocator > > > > tensorpipe::Brochure::*, &tensorpipe::Brochure::transportDomainDescriptors, void*, 0, void>, nop::MemberPointer, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > > > > > tensorpipe::Brochure::*, &tensorpipe::Brochure::channelDeviceDescriptors, void*, 0, void> >; T = std::unordered_map, std::__cxx11::basic_string >; Class = tensorpipe::Brochure; T Class::* Pointer = &tensorpipe::Brochure::transportDomainDescriptors]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:103:41: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 1; Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:99:31: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 2; Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:59:26: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WritePayload(nop::EncodingByte, const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:232:35: required from ‘nop::Status tensorpipe::NopHolder::write(tensorpipe::NopWriter&) const [with T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:231:21: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: warning: loop variable ‘element’ of type ‘const std::pair, std::__cxx11::basic_string >&’ binds to a temporary constructed from type ‘const std::__detail::_Node_const_iterator, std::__cxx11::basic_string >, false, true>::value_type’ {aka ‘const std::pair, std::__cxx11::basic_string >’} [-Wrange-loop-construct] /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: note: use non-reference type ‘const std::pair, std::__cxx11::basic_string >’ to make the copy explicit or ‘const std::__detail::_Node_const_iterator, std::__cxx11::basic_string >, false, true>::value_type&’ {aka ‘const std::pair, std::__cxx11::basic_string >&’} to prevent copying /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h: In instantiation of ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = std::__cxx11::basic_string; T = std::vector; Hash = std::hash >; KeyEqual = std::equal_to >; Allocator = std::allocator, std::vector > >; Type = std::unordered_map, std::vector >]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map, std::vector >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/types/detail/member_pointer.h:56:33: required from ‘static constexpr nop::Status nop::MemberPointer::Write(const Class&, Writer*, MemberList) [with Writer = tensorpipe::NopWriter; MemberList = nop::MemberList, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transport, void*, 0, void>, nop::MemberPointer, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::address, void*, 0, void>, nop::MemberPointer, std::equal_to, std::allocator > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transportRegistrationIds, void*, 0, void>, nop::MemberPointer, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transportDomainDescriptor, void*, 0, void>, nop::MemberPointer, std::allocator >, std::vector >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::vector > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelRegistrationIds, void*, 0, void>, nop::MemberPointer, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelDeviceDescriptors, void*, 0, void>, nop::MemberPointer, std::__cxx11::basic_string, std::allocator >, std::hash >, std::equal_to >, std::allocator, std::__cxx11::basic_string, std::allocator > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelForDevicePair, void*, 0, void> >; T = std::unordered_map, std::vector >; Class = tensorpipe::BrochureAnswer; T Class::* Pointer = &tensorpipe::BrochureAnswer::channelRegistrationIds]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:99:31: recursively required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 6; Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:99:31: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 7; Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:59:26: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WritePayload(nop::EncodingByte, const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:232:35: required from ‘nop::Status tensorpipe::NopHolder::write(tensorpipe::NopWriter&) const [with T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:231:21: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: warning: loop variable ‘element’ of type ‘const std::pair, std::vector >&’ binds to a temporary constructed from type ‘const std::__detail::_Node_const_iterator, std::vector >, false, true>::value_type’ {aka ‘const std::pair, std::vector >’} [-Wrange-loop-construct] /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: note: use non-reference type ‘const std::pair, std::vector >’ to make the copy explicit or ‘const std::__detail::_Node_const_iterator, std::vector >, false, true>::value_type&’ {aka ‘const std::pair, std::vector >&’} to prevent copying /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:280:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 280 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vaddc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h: In instantiation of ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = tensorpipe::Device; T = std::__cxx11::basic_string; Hash = std::hash; KeyEqual = std::equal_to; Allocator = std::allocator > >; Type = std::unordered_map >]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:147:34: required from ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = std::__cxx11::basic_string; T = std::unordered_map >; Hash = std::hash >; KeyEqual = std::equal_to >; Allocator = std::allocator, std::unordered_map > > >; Type = std::unordered_map, std::unordered_map > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map, std::unordered_map > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/types/detail/member_pointer.h:56:33: required from ‘static constexpr nop::Status nop::MemberPointer::Write(const Class&, Writer*, MemberList) [with Writer = tensorpipe::NopWriter; MemberList = nop::MemberList, std::allocator >, std::__cxx11::basic_string, std::allocator >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::__cxx11::basic_string, std::allocator > > > > tensorpipe::Brochure::*, &tensorpipe::Brochure::transportDomainDescriptors, void*, 0, void>, nop::MemberPointer, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > > > > > tensorpipe::Brochure::*, &tensorpipe::Brochure::channelDeviceDescriptors, void*, 0, void> >; T = std::unordered_map, std::unordered_map > >; Class = tensorpipe::Brochure; T Class::* Pointer = &tensorpipe::Brochure::channelDeviceDescriptors]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:103:41: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 2; Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:59:26: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WritePayload(nop::EncodingByte, const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:232:35: required from ‘nop::Status tensorpipe::NopHolder::write(tensorpipe::NopWriter&) const [with T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:231:21: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: warning: loop variable ‘element’ of type ‘const std::pair >&’ binds to a temporary constructed from type ‘const std::__detail::_Node_const_iterator >, false, false>::value_type’ {aka ‘const std::pair >’} [-Wrange-loop-construct] /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: note: use non-reference type ‘const std::pair >’ to make the copy explicit or ‘const std::__detail::_Node_const_iterator >, false, false>::value_type&’ {aka ‘const std::pair >&’} to prevent copying [ 20%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmI8Spmdm.cc.o [ 20%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/max-pooling.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h: In instantiation of ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = long unsigned int; T = long unsigned int; Hash = std::hash; KeyEqual = std::equal_to; Allocator = std::allocator >; Type = std::unordered_map]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/types/detail/member_pointer.h:56:33: required from ‘static constexpr nop::Status nop::MemberPointer::Write(const Class&, Writer*, MemberList) [with Writer = tensorpipe::NopWriter; MemberList = nop::MemberList, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transport, void*, 0, void>, nop::MemberPointer, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::address, void*, 0, void>, nop::MemberPointer, std::equal_to, std::allocator > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transportRegistrationIds, void*, 0, void>, nop::MemberPointer, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transportDomainDescriptor, void*, 0, void>, nop::MemberPointer, std::allocator >, std::vector >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::vector > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelRegistrationIds, void*, 0, void>, nop::MemberPointer, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelDeviceDescriptors, void*, 0, void>, nop::MemberPointer, std::__cxx11::basic_string, std::allocator >, std::hash >, std::equal_to >, std::allocator, std::__cxx11::basic_string, std::allocator > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelForDevicePair, void*, 0, void> >; T = std::unordered_map; Class = tensorpipe::BrochureAnswer; T Class::* Pointer = &tensorpipe::BrochureAnswer::transportRegistrationIds]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:99:31: recursively required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 6; Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:99:31: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 7; Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:59:26: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WritePayload(nop::EncodingByte, const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:232:35: required from ‘nop::Status tensorpipe::NopHolder::write(tensorpipe::NopWriter&) const [with T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:231:21: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: warning: loop variable ‘element’ of type ‘const std::pair&’ binds to a temporary constructed from type ‘const std::__detail::_Node_const_iterator, false, false>::value_type’ {aka ‘const std::pair’} [-Wrange-loop-construct] /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: note: use non-reference type ‘const std::pair’ to make the copy explicit or ‘const std::__detail::_Node_const_iterator, false, false>::value_type&’ {aka ‘const std::pair&’} to prevent copying [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-scalar-x2.c.o [ 20%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/Demangle.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:281:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 281 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vaddc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_i32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_u32.cu [ 20%] Built target sleefpurec_scalar Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_u8.cu [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-scalar-x4.c.o [ 20%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateKernelDirectConvU8S8S32ACC32.cc.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_i64.cu [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-scalar-x8.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_u64.cu [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_bf16_conv_kernel.cpp.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_f16.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:282:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 282 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vaddc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_f32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_f64.cu [ 20%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/sigmoid.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:283:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 283 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vaddc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_bf16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_i8.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_u8.cu [ 20%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/softargmax.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_i32.cu [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x1.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_u32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_i64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_u64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_f16.cu In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:357:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 357 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_f32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_f64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_bf16.cu [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x2.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_i8.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_u8.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_i32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_u32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:358:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 358 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_i64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_u64.cu [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/operator-delete.c.o [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_bf16_convolution.cpp.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_f16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_f32.cu [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x4.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_f64.cu [ 21%] Built target sleefavx Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_bf16.cu [ 21%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/command_line_interface.cc.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_i8.cu [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_bf16_dw_conv_kernel.cpp.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_u8.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:359:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 359 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_i32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_u32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_i64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_u64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_f16.cu [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/indirection.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_f32.cu [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x8.c.o [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/operator-run.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_f64.cu [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/u8lut32norm/scalar.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_bf16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_i8.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:360:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 360 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_u8.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_i32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_u32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_i64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_u64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_f16.cu [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x1.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_f32.cu [ 21%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/EventProfiler.cpp.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_f64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_bf16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i8.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u8.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:432:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 432 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdiv_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f16.cu [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x2.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f32.cu [ 21%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/EventProfilerController.cpp.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f64.cu [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x4.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_bf16.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:433:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 433 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdiv_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_i8.cu [ 21%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateKernel.cc.o [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_bf16_sum.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:434:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 434 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdiv_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/x8lut/scalar.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x8.c.o [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/sgemm/6x8-psimd.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/x8lut/scalar.c:17:19: warning: argument 3 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 17 | const uint8_t t[RESTRICT_STATIC 256], | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/x8lut/scalar.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/x8lut.h:25:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 25 | const uint8_t* t, \ | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/x8lut.h:28:1: note: in expansion of macro ‘DECLARE_X8LUT_UKERNEL_FUNCTION’ 28 | DECLARE_X8LUT_UKERNEL_FUNCTION(x8lut_ukernel__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:435:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 435 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdiv_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/WeakSymbols.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/sgemm/6x8-psimd.c:23:42: warning: argument 9 of type ‘const struct qnnp_fp32_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const struct qnnp_fp32_clamping_params clamping_params[restrict static 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/sgemm/6x8-psimd.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/sgemm.h:30:47: note: previously declared as ‘const struct qnnp_fp32_clamping_params *’ 30 | const struct qnnp_fp32_clamping_params* clamping_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/sgemm.h:35:1: note: in expansion of macro ‘DECLARE_SGEMM_UKERNEL_FUNCTION’ 35 | DECLARE_SGEMM_UKERNEL_FUNCTION(sgemm_ukernel_6x8__psimd) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:256:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 256 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdiv_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-scalar-x2.c.o [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8avgpool/mp8x9p8q-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:257:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 257 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdiv_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8avgpool/up8x9-sse2.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:258:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 258 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdiv_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8avgpool/mp8x9p8q-sse2.c:26:50: warning: argument 10 of type ‘const union qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union qnnp_avgpool_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8avgpool/mp8x9p8q-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8avgpool.h:32:53: note: previously declared as ‘const union qnnp_avgpool_quantization_params *’ 32 | const union qnnp_avgpool_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8avgpool.h:35:1: note: in expansion of macro ‘DECLARE_Q8MPAVGPOOL_UKERNEL_FUNCTION’ 35 | DECLARE_Q8MPAVGPOOL_UKERNEL_FUNCTION(q8avgpool_ukernel_mp8x9p8q__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8avgpool/up8x9-sse2.c:25:50: warning: argument 9 of type ‘const union qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union qnnp_avgpool_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8avgpool/up8x9-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8avgpool.h:47:53: note: previously declared as ‘const union qnnp_avgpool_quantization_params *’ 47 | const union qnnp_avgpool_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8avgpool.h:51:1: note: in expansion of macro ‘DECLARE_Q8UPAVGPOOL_UKERNEL_FUNCTION’ 51 | DECLARE_Q8UPAVGPOOL_UKERNEL_FUNCTION(q8avgpool_ukernel_up8x9__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:259:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 259 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdiv_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x1.c.o [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/init.c.o [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/add.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:559:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 559 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x2.c.o [ 21%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/cupti_strings.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:560:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 560 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8avgpool/up8xm-sse2.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x4.c.o [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/average-pooling.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:561:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 561 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8avgpool/up8xm-sse2.c:25:50: warning: argument 9 of type ‘const union qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union qnnp_avgpool_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8avgpool/up8xm-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8avgpool.h:47:53: note: previously declared as ‘const union qnnp_avgpool_quantization_params *’ 47 | const union qnnp_avgpool_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8avgpool.h:52:1: note: in expansion of macro ‘DECLARE_Q8UPAVGPOOL_UKERNEL_FUNCTION’ 52 | DECLARE_Q8UPAVGPOOL_UKERNEL_FUNCTION(q8avgpool_ukernel_up8xm__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:562:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 562 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8conv/4x4c2-sse2.c.o [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/channel-shuffle.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In function ‘bool google::protobuf::compiler::{anonymous}::TryCreateParentDirectory(const std::string&, const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:175:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 175 | for (int i = 0; i < parts.size() - 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘void google::protobuf::compiler::CommandLineInterface::MemoryOutputStream::UpdateMetadata(size_t, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:640:29: warning: comparison of integer expressions of different signedness: ‘google::protobuf::int32’ {aka ‘int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 640 | if (annotation->begin() >= insertion_offset) { | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In destructor ‘virtual google::protobuf::compiler::CommandLineInterface::MemoryOutputStream::~MemoryOutputStream()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:735:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 735 | for (int i = 0; i < data_.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateKernelU8S8S32ACC16.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:680:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 680 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdivc_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘int google::protobuf::compiler::CommandLineInterface::Run(int, const char* const*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:944:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 944 | for (int i = 0; i < output_directives_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1025:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1025 | for (int i = 0; i < parsed_files.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘bool google::protobuf::compiler::CommandLineInterface::InitializeDiskSourceTree(google::protobuf::compiler::DiskSourceTree*, google::protobuf::DescriptorDatabase*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1049:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1049 | for (int i = 0; i < proto_path_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘google::protobuf::compiler::CommandLineInterface::ParseArgumentStatus google::protobuf::compiler::CommandLineInterface::ParseArguments(int, const char* const*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1366:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1366 | for (int i = 0; i < arguments.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1371:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1371 | if (i + 1 == arguments.size() || arguments[i + 1][0] == '-') { | ~~~~~~^~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/clamp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘google::protobuf::compiler::CommandLineInterface::ParseArgumentStatus google::protobuf::compiler::CommandLineInterface::InterpretArgument(const std::string&, const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1579:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1579 | for (int i = 0; i < parts.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘bool google::protobuf::compiler::CommandLineInterface::GenerateDependencyManifestFile(const std::vector&, const GeneratorContextMap&, google::protobuf::compiler::DiskSourceTree*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2107:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2107 | for (int i = 0; i < parsed_files.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2118:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2118 | for (int i = 0; i < relative_output_filenames.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2141:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2141 | for (int i = 0; i < output_filenames.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2143:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2143 | if (i == output_filenames.size() - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘bool google::protobuf::compiler::CommandLineInterface::GeneratePluginOutput(const std::vector&, const std::string&, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2184:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2184 | for (int i = 0; i < parsed_files.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘bool google::protobuf::compiler::CommandLineInterface::WriteDescriptorSet(const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2336:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2336 | for (int i = 0; i < parsed_files.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2347:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2347 | for (int i = 0; i < parsed_files.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:681:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 681 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdivc_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘void google::protobuf::compiler::CommandLineInterface::PrintFreeFieldNumbers(const google::protobuf::Descriptor*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2519:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2519 | for (int i = 0; i < nested_messages.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x4.c.o [ 21%] Building CXX object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/conv-prepack.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:682:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 682 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdivc_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x8.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:683:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 683 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdivc_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:288:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 288 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdivc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_binary_injector.hpp:33, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_binary_injector.cpp:23: In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory_desc_wrapper.hpp:24, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory_storage.hpp:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_binary_injector.cpp:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:289:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 289 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdivc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In constructor ‘libkineto::EventGroupSet::EventGroupSet(CUpti_EventGroupSet&, std::map&, libkineto::CuptiEventApi&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:166:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 166 | for (int g = 0; g < set.numEventGroups; g++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘void libkineto::EventGroupSet::collectSample()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:198:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 198 | for (int g = 0; g < set_.numEventGroups; g++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:208:17: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 208 | if (v == CUPTI_EVENT_OVERFLOW) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘void libkineto::EventGroupSet::printDescription(std::ostream&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:228:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 228 | for (int g = 0; g < set_.numEventGroups; g++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘void libkineto::EventProfiler::initMetrics(const std::set >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:267:19: warning: comparison of integer expressions of different signedness: ‘CUpti_MetricID’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 267 | if (metric_id == ~0) { | ~~~~~~~~~~^~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘bool libkineto::EventProfiler::initEventGroups()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:314:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 314 | for (int i = 0; i < eventGroupSets_->numSets; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘void libkineto::EventProfiler::printSets(std::ostream&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:514:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 514 | for (int i = 0; i < sets_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8conv/4x4c2-sse2.c:23:47: warning: argument 9 of type ‘const union qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union qnnp_conv_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8conv/4x4c2-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8conv.h:31:50: note: previously declared as ‘const union qnnp_conv_quantization_params *’ 31 | const union qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8conv.h:37:1: note: in expansion of macro ‘DECLARE_Q8CONV_UKERNEL_FUNCTION’ 37 | DECLARE_Q8CONV_UKERNEL_FUNCTION(q8conv_ukernel_4x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:290:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 290 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdivc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:291:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 291 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdivc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/convolution.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-x1.c.o [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8dwconv/mp8x25-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:192:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 192 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:193:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 193 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_core_f32_copy_an_kern_autogen.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_f32_copy_an_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_core_f32_copy_an_kern_autogen.cpp:29:6: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 29 | void jit_avx512_core_f32_copy_an_kern::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:194:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 194 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:195:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 195 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:474:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 474 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/deconvolution.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:475:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 475 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8dwconv/mp8x25-sse2.c:23:47: warning: argument 9 of type ‘const union qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union qnnp_conv_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8dwconv/mp8x25-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8dwconv.h:46:48: note: previously declared as ‘const union qnnp_conv_quantization_params *’ 46 | const union qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8dwconv.h:49:1: note: in expansion of macro ‘DECLARE_Q8MPDWCONV_UKERNEL_FUNCTION’ 49 | DECLARE_Q8MPDWCONV_UKERNEL_FUNCTION(q8dwconv_ukernel_mp8x25__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:476:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 476 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/fc-prepack.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:477:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 477 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:215:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 215 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:216:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 216 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-scalar-x4.c.o [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/fully-connected.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:217:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 217 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-scalar-x8.c.o [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8dwconv/up8x9-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:218:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 218 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateKernelU8S8S32ACC16Avx512.cc.o [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/fully-connected-sparse.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:497:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 497 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-scalar-x2.c.o [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/global-average-pooling.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:498:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 498 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-scalar-x4.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:499:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 499 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/hardsigmoid.c.o [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/hardswish.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:500:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 500 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_u8.cu [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x1.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_i32.cu [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x2.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_u32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8dwconv/up8x9-sse2.c:22:47: warning: argument 8 of type ‘const union qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union qnnp_conv_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8dwconv/up8x9-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8dwconv.h:30:48: note: previously declared as ‘const union qnnp_conv_quantization_params *’ 30 | const union qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8dwconv.h:34:1: note: in expansion of macro ‘DECLARE_Q8UPDWCONV_UKERNEL_FUNCTION’ 34 | DECLARE_Q8UPDWCONV_UKERNEL_FUNCTION(q8dwconv_ukernel_up8x9__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_i64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_u64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:380:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 380 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_f16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_f32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:381:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 381 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_f64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_bf16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_i8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_u8.cu [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x4.c.o [ 21%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateKernelU8S8S32ACC16Avx512VNNI.cc.o [ 21%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateKernelU8S8S32ACC32.cc.o [ 21%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_enum.cc.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_i32.cu [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/leaky-relu.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_u32.cu [ 21%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_enum_field.cc.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_i64.cu [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/max-pooling.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_u64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:382:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 382 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8gavgpool/mp8x7p7q-sse2.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_f16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_f32.cu [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x8.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_f64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_bf16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_i8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_u8.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gavgpool/mp8x7p7q-sse2.c:24:50: warning: argument 8 of type ‘const union qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union qnnp_avgpool_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gavgpool/mp8x7p7q-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gavgpool.h:30:53: note: previously declared as ‘const union qnnp_avgpool_quantization_params *’ 30 | const union qnnp_avgpool_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gavgpool.h:33:1: note: in expansion of macro ‘DECLARE_Q8MPGAVGPOOL_UKERNEL_FUNCTION’ 33 | DECLARE_Q8MPGAVGPOOL_UKERNEL_FUNCTION(q8gavgpool_ukernel_mp8x7p7q__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_i32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_u32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:383:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 383 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_i64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_u64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_f16.cu [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8gavgpool/up8x7-sse2.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_f32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_f64.cu [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-x1.c.o [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/sigmoid.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_bf16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_i8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_u8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_i32.cu [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/softargmax.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gavgpool/up8x7-sse2.c:23:50: warning: argument 7 of type ‘const union qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union qnnp_avgpool_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gavgpool/up8x7-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gavgpool.h:43:53: note: previously declared as ‘const union qnnp_avgpool_quantization_params *’ 43 | const union qnnp_avgpool_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gavgpool.h:47:1: note: in expansion of macro ‘DECLARE_Q8UPGAVGPOOL_UKERNEL_FUNCTION’ 47 | DECLARE_Q8UPGAVGPOOL_UKERNEL_FUNCTION(q8gavgpool_ukernel_up8x7__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:444:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 444 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmul_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_u32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_i64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_u64.cu [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-x2.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_f16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_f32.cu [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-x4.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_f64.cu [ 21%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateKernelU8S8S32ACC32Avx512VNNI.cc.o [ 21%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GroupwiseConv.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:445:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 445 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmul_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_bf16.cu [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8gavgpool/up8xm-sse2.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_i8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_u8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_i32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:446:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 446 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmul_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_u32.cu [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/tanh.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_i64.cu [ 21%] Built target ATEN_CUDA_FILES_GEN_TARGET Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_u64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gavgpool/up8xm-sse2.c:23:50: warning: argument 7 of type ‘const union qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union qnnp_avgpool_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gavgpool/up8xm-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gavgpool.h:43:53: note: previously declared as ‘const union qnnp_avgpool_quantization_params *’ 43 | const union qnnp_avgpool_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gavgpool.h:48:1: note: in expansion of macro ‘DECLARE_Q8UPGAVGPOOL_UKERNEL_FUNCTION’ 48 | DECLARE_Q8UPGAVGPOOL_UKERNEL_FUNCTION(q8gavgpool_ukernel_up8xm__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-x8.c.o [ 21%] Generating src/x86_64-fma/2d-fourier-8x8.py.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_f16.cu [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-scalar-x1.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_f32.cu [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8gemm/2x4c8-sse2.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_f64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_bf16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i8.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:447:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 447 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmul_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:264:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 264 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmul_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u8.cu [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/operator-delete.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u32.cu [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-scalar-x2.c.o [ 21%] Building CXX object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/conv-run.cc.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:265:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 265 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmul_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_bf16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_i8.cu [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-scalar-x4.c.o [ 21%] Building CXX object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/deconv-run.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:266:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 266 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmul_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-scalar-x8.c.o [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_bf16cvt.cpp.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/hardware-config.dir/src/hardware-config.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:267:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 267 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmul_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x1.c.o [ 21%] Built target hardware-config /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GroupwiseConvAcc32Avx2.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:605:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 605 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object confu-deps/XNNPACK/CMakeFiles/jit.dir/src/jit/aarch32-assembler.cc.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:606:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 606 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gemm/2x4c8-sse2.c:46:47: warning: argument 9 of type ‘const union qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 46 | const union qnnp_conv_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gemm/2x4c8-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gemm.h:31:50: note: previously declared as ‘const union qnnp_conv_quantization_params *’ 31 | const union qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gemm.h:43:1: note: in expansion of macro ‘DECLARE_Q8GEMM_UKERNEL_FUNCTION’ 43 | DECLARE_Q8GEMM_UKERNEL_FUNCTION(q8gemm_ukernel_2x4c8__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object confu-deps/XNNPACK/CMakeFiles/jit.dir/src/jit/aarch64-assembler.cc.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:607:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 607 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8gemm/4x4c2-sse2.c.o [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8vadd/sse2.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/jit/aarch64-assembler.cc: In member function ‘void xnnpack::aarch64::Assembler::ldr(xnnpack::aarch64::XRegister, xnnpack::aarch64::MemOperand)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/jit/aarch64-assembler.cc:285:60: warning: comparison of integer expressions of different signedness: ‘const int32_t’ {aka ‘const int’} and ‘unsigned int’ [-Wsign-compare] 285 | if (xn.mode != AddressingMode::kOffset || imm < 0 || imm > (kUint12Max << 3) || (imm & 7) != 0) { | ~~~~^~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/fc-run.cc.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/cache.dir/src/cache.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/jit/aarch64-assembler.cc: In member function ‘void xnnpack::aarch64::Assembler::str(xnnpack::aarch64::SRegister, xnnpack::aarch64::MemOperand)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/jit/aarch64-assembler.cc:644:22: warning: comparison of integer expressions of different signedness: ‘const int32_t’ {aka ‘const int’} and ‘unsigned int’ [-Wsign-compare] 644 | if (imm < 0 || imm > (kUint12Max << 2) || (imm & 0x3) != 0) { | ~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:608:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 608 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operator-delete.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:704:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 704 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmulc_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x2.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x4.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/argmax-pooling-nhwc.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_enum.cc:38: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 21%] Built target cache In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_enum_field.h:40, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_enum_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:705:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 705 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmulc_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:706:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 706 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmulc_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/fc-unpack.cc.o [ 21%] Building CXX object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/fc-dynamic-run.cc.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 21%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDACachingAllocator.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:707:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 707 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmulc_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-scalar-x1.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/average-pooling-nhwc.c.o [ 21%] Building CXX object confu-deps/XNNPACK/CMakeFiles/jit.dir/src/jit/assembler.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:296:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 296 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmulc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/indirection.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gemm/4x4c2-sse2.c:23:47: warning: argument 9 of type ‘const union qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union qnnp_conv_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gemm/4x4c2-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gemm.h:31:50: note: previously declared as ‘const union qnnp_conv_quantization_params *’ 31 | const union qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gemm.h:44:1: note: in expansion of macro ‘DECLARE_Q8GEMM_UKERNEL_FUNCTION’ 44 | DECLARE_Q8GEMM_UKERNEL_FUNCTION(q8gemm_ukernel_4x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-scalar-x2.c.o [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/operator-run.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8vadd/sse2.c:21:46: warning: argument 5 of type ‘const union qnnp_add_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union qnnp_add_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8vadd/sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8vadd.h:27:49: note: previously declared as ‘const union qnnp_add_quantization_params *’ 27 | const union qnnp_add_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8vadd.h:31:1: note: in expansion of macro ‘DECLARE_Q8VADD_UKERNEL_FUNCTION’ 31 | DECLARE_Q8VADD_UKERNEL_FUNCTION(q8vadd_ukernel__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:297:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 297 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmulc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:298:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 298 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmulc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/AbstractConfig.cpp.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-scalar-x8.c.o [ 21%] Built target jit [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/u8clamp/sse2.c.o [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_f32_wino_conv_2x3.cpp.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:299:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 299 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmulc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/u8clamp/sse2.c:20:41: warning: argument 4 of type ‘const union qnnp_u8_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union qnnp_u8_clamping_params params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/u8clamp/sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/u8clamp.h:26:44: note: previously declared as ‘const union qnnp_u8_clamping_params *’ 26 | const union qnnp_u8_clamping_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/u8clamp.h:29:1: note: in expansion of macro ‘DECLARE_U8CLAMP_UKERNEL_FUNCTION’ 29 | DECLARE_U8CLAMP_UKERNEL_FUNCTION(u8clamp_ukernel__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:582:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 582 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/u8maxpool/16x9p8q-sse2.c.o [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/u8maxpool/sub16-sse2.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/binary-elementwise-nd.c.o [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/u8lut32norm/scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:583:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 583 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object sleef/src/libm/CMakeFiles/sleefavx512fnofma.dir/sleefsimdsp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/u8maxpool/16x9p8q-sse2.c:24:41: warning: argument 8 of type ‘const union qnnp_u8_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union qnnp_u8_clamping_params params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/u8maxpool/16x9p8q-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/u8maxpool.h:30:44: note: previously declared as ‘const union qnnp_u8_clamping_params *’ 30 | const union qnnp_u8_clamping_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/u8maxpool.h:33:1: note: in expansion of macro ‘DECLARE_U8MAXPOOL_UKERNEL_FUNCTION’ 33 | DECLARE_U8MAXPOOL_UKERNEL_FUNCTION(u8maxpool_ukernel_16x9p8q__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiActivityProfiler.cpp.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/u8maxpool/sub16-sse2.c:24:41: warning: argument 8 of type ‘const union qnnp_u8_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union qnnp_u8_clamping_params params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/u8maxpool/sub16-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/u8maxpool.h:30:44: note: previously declared as ‘const union qnnp_u8_clamping_params *’ 30 | const union qnnp_u8_clamping_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/u8maxpool.h:35:1: note: in expansion of macro ‘DECLARE_U8MAXPOOL_UKERNEL_FUNCTION’ 35 | DECLARE_U8MAXPOOL_UKERNEL_FUNCTION(u8maxpool_ukernel_sub16__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ActivityProfilerController.cpp.o [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/x8lut/scalar.c.o [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/sgemm/6x8-psimd.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/x8lut/scalar.c:16:19: warning: argument 3 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 16 | const uint8_t t[RESTRICT_STATIC 256], | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/x8lut/scalar.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/x8lut.h:23:50: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 23 | size_t n, const uint8_t* x, const uint8_t* t, uint8_t* y); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/x8lut.h:25:1: note: in expansion of macro ‘DECLARE_PYTORCH_X8LUT_UKERNEL_FUNCTION’ 25 | DECLARE_PYTORCH_X8LUT_UKERNEL_FUNCTION(pytorch_x8lut_ukernel__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/u8rmax/sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:584:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 584 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8avgpool/mp8x9p8q-sse2.c.o [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/x8zip/x2-sse2.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x8.c.o [ 21%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/x8zip/x3-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/sgemm/6x8-psimd.c:23:9: warning: argument 9 of type ‘const struct pytorch_qnnp_fp32_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const struct pytorch_qnnp_fp32_clamping_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | clamping_params[restrict static 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/sgemm/6x8-psimd.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/sgemm.h:30:55: note: previously declared as ‘const struct pytorch_qnnp_fp32_clamping_params *’ 30 | const struct pytorch_qnnp_fp32_clamping_params* clamping_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/sgemm.h:34:1: note: in expansion of macro ‘DECLARE_PYTORCH_SGEMM_UKERNEL_FUNCTION’ 34 | DECLARE_PYTORCH_SGEMM_UKERNEL_FUNCTION(pytorch_sgemm_ukernel_6x8__psimd) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8avgpool/mp8x9p8q-sse2.c:26:9: warning: argument 10 of type ‘const union pytorch_qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union pytorch_qnnp_avgpool_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 26 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8avgpool/mp8x9p8q-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8avgpool.h:33:11: note: previously declared as ‘const union pytorch_qnnp_avgpool_quantization_params *’ 32 | const union pytorch_qnnp_avgpool_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8avgpool.h:36:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8MPAVGPOOL_UKERNEL_FUNCTION’ 36 | DECLARE_PYTORCH_Q8MPAVGPOOL_UKERNEL_FUNCTION(pytorch_q8avgpool_ukernel_mp8x9p8q__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:585:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 585 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x1.c.o [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_f32_wino_conv_4x3.cpp.o [ 22%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GroupwiseConvAcc32Avx512.cc.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x2.c.o [ 22%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/x8zip/x4-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:692:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 692 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrdivc_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp.o [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_fp16cvt.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:693:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 693 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrdivc_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8avgpool/up8x9-sse2.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/channel-shuffle-nc.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x4.c.o [ 22%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/x8zip/xm-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8avgpool/up8x9-sse2.c:25:9: warning: argument 9 of type ‘const union pytorch_qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union pytorch_qnnp_avgpool_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 25 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8avgpool/up8x9-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8avgpool.h:49:11: note: previously declared as ‘const union pytorch_qnnp_avgpool_quantization_params *’ 48 | const union pytorch_qnnp_avgpool_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 49 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8avgpool.h:53:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8UPAVGPOOL_UKERNEL_FUNCTION’ 53 | DECLARE_PYTORCH_Q8UPAVGPOOL_UKERNEL_FUNCTION(pytorch_q8avgpool_ukernel_up8x9__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:694:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 694 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrdivc_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x8.c.o [ 22%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8avgpool/up8xm-sse2.c.o [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_u8s8s32x_wino_convolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:695:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 695 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrdivc_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/constant-pad-nd.c.o [ 23%] Linking C static library ../../lib/libqnnpack.a [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/AbstractConfig.cpp: In member function ‘std::string libkineto::AbstractConfig::toLower(std::string&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/AbstractConfig.cpp:74:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 74 | for (int i = 0; i < res.size(); i++) { | ~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/AbstractConfig.cpp: In member function ‘bool libkineto::AbstractConfig::toBool(std::string&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/AbstractConfig.cpp:122:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::array, 8>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 122 | for (int i = 0; i < bool_vals.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8avgpool/up8xm-sse2.c:25:9: warning: argument 9 of type ‘const union pytorch_qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union pytorch_qnnp_avgpool_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 25 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8avgpool/up8xm-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8avgpool.h:49:11: note: previously declared as ‘const union pytorch_qnnp_avgpool_quantization_params *’ 48 | const union pytorch_qnnp_avgpool_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 49 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8avgpool.h:54:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8UPAVGPOOL_UKERNEL_FUNCTION’ 54 | DECLARE_PYTORCH_Q8UPAVGPOOL_UKERNEL_FUNCTION(pytorch_q8avgpool_ukernel_up8xm__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:304:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 304 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrdivc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Built target qnnpack [ 23%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8conv/4x4c2-sse2.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-scalar-x2.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:305:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 305 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrdivc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:306:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 306 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrdivc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/convolution-nchw.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-scalar-x8.c.o [ 23%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx512fnofma.dir/sleefsimdsp.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x1.c.o [ 23%] Building C object sleef/src/libm/CMakeFiles/sleefavx512f.dir/sleefsimdsp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:307:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 307 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrdivc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:651:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 651 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x2.c.o [ 23%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx512f.dir/sleefsimdsp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:652:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 652 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object sleef/src/libm/CMakeFiles/sleefavx512f.dir/sleefsimddp.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/convolution-nhwc.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:653:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 653 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8conv/4x4c2-sse2.c:25:9: warning: argument 10 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 25 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8conv/4x4c2-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8conv.h:32:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 32 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8conv.h:38:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8CONV_UKERNEL_FUNCTION’ 38 | DECLARE_PYTORCH_Q8CONV_UKERNEL_FUNCTION(pytorch_q8conv_ukernel_4x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:654:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 654 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:728:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 728 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrsubc_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x2.c.o [ 23%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8dwconv/mp8x25-sse2.c.o [ 23%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx512fnofma.dir/sleefsimddp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:729:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 729 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrsubc_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:730:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 730 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrsubc_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x8.c.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_u8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_i32.cu [ 23%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8dwconv/mp8x25-sse2-per-channel.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:731:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 731 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrsubc_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_u32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_i64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_u64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_f16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_f32.cu [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-scalar-x1.c.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_f64.cu [ 23%] Building C object sleef/src/libm/CMakeFiles/sleefavx512fnofma.dir/sleefsimddp.c.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_bf16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_i8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_u8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_i32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_u32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:312:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 312 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrsubc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_i64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_u64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_f16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_f32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_f64.cu [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-scalar-x2.c.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_bf16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_i8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_u8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_i32.cu [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/deconvolution-nhwc.c.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_u32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:313:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 313 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrsubc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_i64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_u64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_f16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_f32.cu [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-scalar-x4.c.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_f64.cu /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/mp8x25-sse2.c:23:9: warning: argument 9 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/mp8x25-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:52:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 52 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:57:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8MPDWCONV_UKERNEL_FUNCTION’ 57 | DECLARE_PYTORCH_Q8MPDWCONV_UKERNEL_FUNCTION(pytorch_q8dwconv_ukernel_mp8x25__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_bf16.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/operators/deconvolution-nhwc.c: In function ‘setup_deconvolution2d_nhwc’: Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_i8.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/operators/deconvolution-nhwc.c:1110:34: warning: operation on ‘deconvolution_op->output_width’ may be undefined [-Wsequence-point] 1110 | deconvolution_op->output_width = deconvolution_op->output_width = xnn_compute_deconvolution_output_dimension( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1111 | input_width, deconvolution_op->padding_left + deconvolution_op->padding_right, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1112 | adjustment_width, deconvolution_op->kernel_width, deconvolution_op->dilation_width, deconvolution_op->stride_width); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_u8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_i32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:314:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 314 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrsubc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_u32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_i64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_u64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_f16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_f32.cu [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-scalar-x8.c.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_f64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_bf16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_i8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_u8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_i32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_u32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:315:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 315 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrsubc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_i64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_u64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_f16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_f32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_f64.cu [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x1.c.o [ 23%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_bf16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_i8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_u8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_i32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_u32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:238:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 238 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_i64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_u64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_f16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_f32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_f64.cu [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x2.c.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_bf16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_i8.cu [ 23%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ActivityProfilerProxy.cpp.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/fully-connected-nc.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/global-average-pooling-ncw.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/mp8x25-sse2-per-channel.c:23:9: warning: argument 9 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/mp8x25-sse2-per-channel.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:52:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 52 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:58:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8MPDWCONV_UKERNEL_FUNCTION’ 58 | DECLARE_PYTORCH_Q8MPDWCONV_UKERNEL_FUNCTION( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:239:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 239 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/global-average-pooling-nwc.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:240:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 240 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.cpp:19: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opIncDec(const Xbyak::Operand&, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2145:10, inlined from ‘void Xbyak::CodeGenerator::opIncDec(const Xbyak::Operand&, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2132:7, inlined from ‘void Xbyak::CodeGenerator::dec(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:213:39, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_cvt_bf16_to_ps_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.cpp:135:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_cvt_bf16_to_ps_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.cpp:44:11: note: object ‘reg_nrows’ of size 8 44 | Reg64 reg_nrows = rax; // instead of abi_param4 (rcx) | ^~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x8.c.o [ 23%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx512f.dir/sleefsimddp.c.o [ 23%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_extension.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:241:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 241 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x1.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/lut-elementwise-nc.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/max-pooling-nhwc.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:520:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 520 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x2.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x4.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x8.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:521:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 521 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8dwconv/mp8x27-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:522:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 522 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:523:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 523 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_x8s8s32x_1x1_convolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:403:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 403 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8dwconv/up8x9-sse2.c.o [ 23%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_x8s8s32x_conv_kernel.cpp.o [ 23%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_x8s8s32x_convolution.cpp.o [ 23%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ActivityType.cpp.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x2.c.o [ 23%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_field.cc.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/prelu-nc.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:404:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 404 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x4.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/resize-bilinear-nchw.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:405:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 405 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_x8s8s32x_deconvolution.cpp.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:406:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 406 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-relu-scalar-x1.c.o [ 23%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_file.cc.o [ 23%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_generator.cc.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/resize-bilinear-nhwc.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:456:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 456 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsub_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-relu-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:457:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 457 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsub_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-relu-scalar-x4.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-relu-scalar-x8.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/slice-nd.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:458:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 458 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsub_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:459:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 459 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsub_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/up8x9-sse2.c:23:9: warning: argument 8 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/up8x9-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:30:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 30 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:38:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8UPDWCONV_UKERNEL_FUNCTION’ 38 | DECLARE_PYTORCH_Q8UPDWCONV_UKERNEL_FUNCTION(pytorch_q8dwconv_ukernel_up8x9__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/mp8x27-sse2.c:26:9: warning: argument 11 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 26 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/mp8x27-sse2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:73:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 73 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:77:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8MPDWCONV_3D_UKERNEL_FUNCTION’ 77 | DECLARE_PYTORCH_Q8MPDWCONV_3D_UKERNEL_FUNCTION( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDADeviceAssertionHost.cpp.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-scalar-x1.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-scalar-x2.c.o [ 23%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_helpers.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:272:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 272 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsub_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_map_field.cc.o [ 23%] Built target sleefdetavx512fnofma /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:273:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 273 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsub_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_message.cc.o [ 23%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8dwconv/up8x9-sse2-per-channel.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/softmax-nc.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:274:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 274 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsub_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_extension.cc:37: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:275:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 275 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsub_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x1.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/transpose-nd.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:628:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 628 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:629:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 629 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/up8x9-sse2-per-channel.c:23:9: warning: argument 8 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/up8x9-sse2-per-channel.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:30:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 30 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:39:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8UPDWCONV_UKERNEL_FUNCTION’ 39 | DECLARE_PYTORCH_Q8UPDWCONV_UKERNEL_FUNCTION( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:630:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 630 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x8.c.o [ 23%] Built target sleefdetavx512f [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/unary-elementwise-nc.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 23%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_message_field.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:631:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 631 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gavgpool/mp8x7p7q-sse2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.h:44, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_generator.cc:42: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_generator.cc: In member function ‘virtual bool google::protobuf::compiler::cpp::CppGenerator::Generate(const google::protobuf::FileDescriptor*, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_generator.cc:83:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 83 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.h:44, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gavgpool/mp8x7p7q-sse2.c:24:9: warning: argument 8 of type ‘const union pytorch_qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union pytorch_qnnp_avgpool_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 24 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gavgpool/mp8x7p7q-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gavgpool.h:31:11: note: previously declared as ‘const union pytorch_qnnp_avgpool_quantization_params *’ 30 | const union pytorch_qnnp_avgpool_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gavgpool.h:34:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8MPGAVGPOOL_UKERNEL_FUNCTION’ 34 | DECLARE_PYTORCH_Q8MPGAVGPOOL_UKERNEL_FUNCTION(pytorch_q8gavgpool_ukernel_mp8x7p7q__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:716:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 716 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsubc_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In constructor ‘google::protobuf::compiler::cpp::FileGenerator::FileGenerator(const google::protobuf::FileDescriptor*, const google::protobuf::compiler::cpp::Options&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:112:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 112 | for (int i = 0; i < msgs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:130:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 130 | for (int i = 0; i < service_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:141:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 141 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateMacroUndefs(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:164:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 164 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:167:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 167 | for (int i = 0; i < GOOGLE_ARRAYSIZE(kMacroNames); ++i) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:174:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (int i = 0; i < names_to_undef.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:717:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 717 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsubc_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateGlobalSource(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:627:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 627 | for (int i = 0; i < enum_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:632:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 632 | for (int i = 0; i < extension_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:638:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 638 | for (int i = 0; i < service_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateSource(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:658:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 658 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:684:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 684 | for (int i = 0; i < enum_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:689:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 689 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:698:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 698 | for (int i = 0; i < service_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:707:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 707 | for (int i = 0; i < extension_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:718:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 718 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateReflectionInitializationCode(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:774:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 774 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:785:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 785 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:797:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 797 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:844:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 844 | for (int i = 0; i < file_data.size();) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:845:48: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 845 | for (int j = 0; j < kBytesPerLine && i < file_data.size(); ++i, ++j) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:854:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 854 | for (int i = 0; i < file_data.size(); i += kBytesPerLine) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateInitForSCC(const google::protobuf::compiler::SCC*, const CrossFileReferences&, google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:941:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 941 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:968:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 968 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateTables(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1033:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1033 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1056:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1056 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1076:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1076 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1100:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1100 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1117:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1117 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateForwardDeclarations(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1190:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1190 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1204:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1204 | for (int i = 0; i < classes.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1209:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1209 | for (int i = 0; i < enums.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateMessageDefinitions(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1429:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1429 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateEnumDefinitions(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1441:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1441 | for (int i = 0; i < enum_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateServiceDefinitions(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1450:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1450 | for (int i = 0; i < service_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateInlineFunctionDefinitions(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1484:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1484 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1496:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1496 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateProto2NamespaceEnumSpecializations(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1513:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1513 | for (int i = 0; i < enum_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gavgpool/up8x7-sse2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_fp16cvt.cpp:21: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opIncDec(const Xbyak::Operand&, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2145:10, inlined from ‘void Xbyak::CodeGenerator::opIncDec(const Xbyak::Operand&, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2132:7, inlined from ‘void Xbyak::CodeGenerator::dec(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:213:39, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_fp16_cvt_f16_to_ps_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_fp16cvt.cpp:214:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_fp16cvt.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_fp16_cvt_f16_to_ps_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_fp16cvt.cpp:126:11: note: object ‘reg_nrows’ of size 8 126 | Reg64 reg_nrows = rax; // instead of abi_param4 (rcx) | ^~~~~~~~~ [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:718:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 718 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsubc_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:47: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h: In instantiation of ‘void google::protobuf::io::AnnotationProtoCollector::AddAnnotation(size_t, size_t, const std::string&, const std::vector&) [with AnnotationProto = google::protobuf::GeneratedCodeInfo; size_t = long unsigned int; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:85:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:90:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 90 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gavgpool/up8x7-sse2.c:23:9: warning: argument 7 of type ‘const union pytorch_qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union pytorch_qnnp_avgpool_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gavgpool/up8x7-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gavgpool.h:45:11: note: previously declared as ‘const union pytorch_qnnp_avgpool_quantization_params *’ 44 | const union pytorch_qnnp_avgpool_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 45 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gavgpool.h:49:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8UPGAVGPOOL_UKERNEL_FUNCTION’ 49 | DECLARE_PYTORCH_Q8UPGAVGPOOL_UKERNEL_FUNCTION(pytorch_q8gavgpool_ukernel_up8x7__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:719:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 719 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsubc_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brdgmm_dw_conv.cpp.o [ 24%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gavgpool/up8xm-sse2.c.o [ 24%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gemm/2x4c8-sse2.c.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-scalar-x1.c.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-scalar-x2.c.o [ 24%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/context_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gavgpool/up8xm-sse2.c:23:9: warning: argument 7 of type ‘const union pytorch_qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union pytorch_qnnp_avgpool_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gavgpool/up8xm-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gavgpool.h:45:11: note: previously declared as ‘const union pytorch_qnnp_avgpool_quantization_params *’ 44 | const union pytorch_qnnp_avgpool_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 45 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gavgpool.h:50:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8UPGAVGPOOL_UKERNEL_FUNCTION’ 50 | DECLARE_PYTORCH_Q8UPGAVGPOOL_UKERNEL_FUNCTION(pytorch_q8gavgpool_ukernel_up8xm__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:320:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 320 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsubc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:321:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 321 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsubc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:322:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 322 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsubc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Building C object sleef/src/libm/CMakeFiles/dispsse_obj.dir/dispsse.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message_field.h:40, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_map_field.h:37, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_map_field.cc:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:323:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 323 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsubc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Built target sleefavx512f [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-scalar-x2.c.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/unpooling-nhwc.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-scalar-x1.c:21:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:248:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 248 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-scalar-x4.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 24%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/factory.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-scalar-x2.c:21:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:249:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 249 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.h:41, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-scalar-x4.c:21:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:250:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 250 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In function ‘std::string google::protobuf::compiler::cpp::{anonymous}::ConditionalToCheckBitmasks(const std::vector&, bool, google::protobuf::StringPiece)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:82:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 82 | for (int i = 0; i < masks.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 24%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackAMatrix.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc: In function ‘std::string google::protobuf::compiler::cpp::UnderscoresToCamelCase(const std::string&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc:279:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 279 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc: In function ‘std::string google::protobuf::compiler::cpp::FilenameIdentifier(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc:738:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 738 | for (int i = 0; i < filename.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc: In member function ‘google::protobuf::compiler::cpp::MessageAnalysis google::protobuf::compiler::cpp::MessageSCCAnalyzer::GetSCCAnalysis(const google::protobuf::compiler::SCC*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc:1167:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1167 | for (int i = 0; i < scc->descriptors.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::{anonymous}::ColdChunkSkipper::OnStartChunk(int, int, const std::string&, google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:512:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 512 | while (limit_chunk_ < chunks_.size() && IsColdChunk(limit_chunk_)) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ [ 24%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc.o [ 24%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_1x1_conv.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x1.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:478:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 478 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_lut16_p3_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Built target operators /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm/2x4c8-sse2.c:52:9: warning: argument 10 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 51 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm/2x4c8-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm.h:32:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 32 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm.h:44:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8GEMM_UKERNEL_FUNCTION’ 44 | DECLARE_PYTORCH_Q8GEMM_UKERNEL_FUNCTION(pytorch_q8gemm_ukernel_2x4c8__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘int google::protobuf::compiler::cpp::MessageGenerator::GenerateFieldMetadata(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:1836:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1836 | for (; extension_idx < sorted_extensions.size() && | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:1837:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1837 | (i == sorted.size() || | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:1849:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1849 | if (i == sorted.size()) break; | ~~^~~~~~~~~~~~~~~~ [ 24%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackAWithIm2Col.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘std::pair google::protobuf::compiler::cpp::MessageGenerator::GenerateOffsets(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:2449:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2449 | for (int i = 0; i < has_bit_indices_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateConstructorBody(google::protobuf::io::Printer*, std::vector, bool) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:2600:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2600 | for (int i = 0; i < optimized_order_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateStructors(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:2721:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2721 | for (int i = 0; i < optimized_order_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateClear(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:2884:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2884 | for (int chunk_index = 0; chunk_index < chunks.size(); chunk_index++) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateSwap(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3068:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 3068 | for (int i = 0; i < HasBitsSize() / 4; ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3079:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3079 | for (int i = 0; i < optimized_order_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateClassSpecificMergeFrom(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3208:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3208 | for (int chunk_index = 0; chunk_index < chunks.size(); chunk_index++) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateSerializeWithCachedSizesBody(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3641:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3641 | i < ordered_fields.size() || j < sorted_extensions.size();) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3641:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3641 | i < ordered_fields.size() || j < sorted_extensions.size();) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3642:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3642 | if ((j == sorted_extensions.size()) || | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateByteSize(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3832:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3832 | for (int chunk_index = 0; chunk_index < chunks.size(); chunk_index++) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3859:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3859 | for (int j = 0; j < chunk.size(); j++) { | ~~^~~~~~~~~~~~~~ [ 24%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gemm/4x4c2-dq-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x2.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:479:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 479 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_lut16_p3_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Generating src/x86_64-fma/2d-fourier-16x16.py.o [ 24%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_conv.cpp.o [ 24%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_primitive_field.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 24%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_conv_bwd.cpp.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x3.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:480:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 480 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_lut16_p3_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_i32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_u32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_u8.cu [ 24%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_conv_bwd_w.cpp.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_i64.cu [ 24%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_service.cc.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x4.c.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_u64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_f16.cu [ 24%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_string_field.cc.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_f32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_f64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_bf16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_i8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_u8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_i32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_u32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x4.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:481:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 481 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_lut16_p3_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_i64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_u64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_f16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_f32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_f64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_bf16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_i8.cu In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message_field.h:40, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_u8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_i32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_u32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_i64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_u64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_f16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_f32.cu [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x5.c.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_f64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_bf16.cu [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x6.c.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_i8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_u8.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_i32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_u32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_i64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x6.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x5.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x5.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:482:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 482 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_lut16_p3_x5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x6.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:483:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 483 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_lut16_p3_x6) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_u64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_f16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_f32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_f64.cu /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm/4x4c2-dq-sse2.c:26:9: warning: argument 11 of type ‘const struct pytorch_qnnp_conv_dynamic_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const struct pytorch_qnnp_conv_dynamic_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 26 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm/4x4c2-dq-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm.h:59:67: note: previously declared as ‘const struct pytorch_qnnp_conv_dynamic_quantization_params *’ 59 | const struct pytorch_qnnp_conv_dynamic_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm.h:64:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_UKERNEL_FUNCTION’ 64 | DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_UKERNEL_FUNCTION(pytorch_q8gemm_dq_ukernel_4x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_bf16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u64.cu [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x1.c.o [ 24%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_doc_comment.cc.o [ 24%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_conv_comp_pad_kernel.cpp.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f64.cu [ 24%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gemm/4x4c2-sse2.c.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_bf16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u8.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x1.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:485:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 485 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_p6_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f32.cu [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x2.c.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_bf16.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x2.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:486:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 486 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_p6_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x3.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:487:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 487 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_p6_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Building C object sleef/src/libm/CMakeFiles/dispavx_obj.dir/dispavx.c.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/memory-planner.c.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x4.c.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:488:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 488 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_p6_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x5.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x5.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:489:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 489 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_p6_x5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_primitive_field.h:40, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_primitive_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 24%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackAWithQuantRowOffset.cc.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/runtime.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x6.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm/4x4c2-sse2.c:25:9: warning: argument 10 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 25 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm/4x4c2-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm.h:32:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 32 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm.h:45:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8GEMM_UKERNEL_FUNCTION’ 45 | DECLARE_PYTORCH_Q8GEMM_UKERNEL_FUNCTION(pytorch_q8gemm_ukernel_4x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x6.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x6.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:490:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 490 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_p6_x6) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_service.cc:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc: In member function ‘virtual void google::protobuf::compiler::cpp::PaddingOptimizer::OptimizeLayout(std::vector*, const google::protobuf::compiler::cpp::Options&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:140:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 140 | for (int i = 0; i < fields->size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:178:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 178 | for (int i = 0; i < aligned_to_1[f].size(); i += 4) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:180:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 180 | for (int j = i; j < aligned_to_1[f].size() && j < i + 4; ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:192:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 192 | for (int i = 0; i < aligned_to_4[f].size(); i += 2) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:194:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 194 | for (int j = i; j < aligned_to_4[f].size() && j < i + 2; ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-scalar-x1.c:21:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:197:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 197 | if (i == aligned_to_4[f].size() - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:524:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 524 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:217:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 217 | for (int i = 0; i < aligned_to_8[f].size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-scalar-x2.c:21:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:525:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 525 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-scalar-x4.c:21:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:526:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 526 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-scalar-x1.c:20:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:585:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 585 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-scalar-x2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_string_field.h:40, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_string_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-scalar-x2.c:20:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:586:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 586 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-scalar-x4.c.o [ 25%] Built target dispsse_obj /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-scalar-x4.c:20:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:587:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 587 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackAWithRowOffset.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 25%] Built target sleefavx512fnofma [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vmulcaddc/gen/f32-vmulcaddc-c1-minmax-scalar-2x.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/abs.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vmulcaddc/gen/f32-vmulcaddc-c2-minmax-scalar-2x.c.o [ 25%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackBMatrix.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c1-minmax-scalar-2x.c:24:39: warning: argument 8 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c1-minmax-scalar-2x.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:28:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 28 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:55:1: note: in expansion of macro ‘DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 55 | DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulcaddc_minmax_ukernel_c1__scalar_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vmulcaddc/gen/f32-vmulcaddc-c4-minmax-scalar-2x.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.c:3: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.h:44:9: warning: argument 11 of type ‘const struct pytorch_qnnp_conv_dynamic_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 43 | const struct pytorch_qnnp_conv_dynamic_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.h:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm_sparse.h:78:11: note: previously declared as ‘const struct pytorch_qnnp_conv_dynamic_quantization_params *’ 77 | const struct pytorch_qnnp_conv_dynamic_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 78 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm_sparse.h:121:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_SPARSE_PACKEDA_UKERNEL_FUNCTION’ 121 | DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_SPARSE_PACKEDA_UKERNEL_FUNCTION( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.c:9: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.h:44:9: warning: argument 11 of type ‘const struct pytorch_qnnp_conv_dynamic_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 43 | const struct pytorch_qnnp_conv_dynamic_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm_sparse.h:78:11: note: previously declared as ‘const struct pytorch_qnnp_conv_dynamic_quantization_params *’ 77 | const struct pytorch_qnnp_conv_dynamic_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 78 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm_sparse.h:124:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_SPARSE_PACKEDA_UKERNEL_FUNCTION’ 124 | DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_SPARSE_PACKEDA_UKERNEL_FUNCTION( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.h:44:9: warning: argument 11 of type ‘const struct pytorch_qnnp_conv_dynamic_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 43 | const struct pytorch_qnnp_conv_dynamic_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm_sparse.h:78:11: note: previously declared as ‘const struct pytorch_qnnp_conv_dynamic_quantization_params *’ 77 | const struct pytorch_qnnp_conv_dynamic_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 78 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm_sparse.h:127:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_SPARSE_PACKEDA_UKERNEL_FUNCTION’ 127 | DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_SPARSE_PACKEDA_UKERNEL_FUNCTION( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c2-minmax-scalar-2x.c:24:39: warning: argument 8 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c2-minmax-scalar-2x.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:28:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 28 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:56:1: note: in expansion of macro ‘DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 56 | DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulcaddc_minmax_ukernel_c2__scalar_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-scalar-x1.c.o [ 25%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackMatrix.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c4-minmax-scalar-2x.c:24:39: warning: argument 8 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c4-minmax-scalar-2x.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:28:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 28 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:57:1: note: in expansion of macro ‘DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 57 | DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulcaddc_minmax_ukernel_c4__scalar_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackWeightMatrixForGConv.cc.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/add2.c.o [ 25%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_conv_trans_kernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x1.c:20:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:631:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 631 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/argmax-pooling-2d.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x2.c:20:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_enum.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:632:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 632 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-scalar-x4.c.o [ 25%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_enum_field.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x4.c:20:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:633:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 633 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/average-pooling-2d.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/bankers-rounding.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x8.c:20:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x8.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:634:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 634 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x1.c.o [ 25%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gemm_sparse/8x4-packA-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x1.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:718:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 718 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__scalar_libm_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/channel_impl.cc.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/ceiling.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x2.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:719:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 719 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__scalar_libm_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x4.c.o [ 25%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/context_impl.cc.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/clamp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:720:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 720 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__scalar_libm_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x1.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x1.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:664:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 664 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__scalar_libm_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/concatenate.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/convert.c.o [ 25%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8vadd/sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x2.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:665:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 665 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__scalar_libm_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/u8clamp/sse2.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x4.c.o [ 25%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/u8maxpool/16x9p8q-sse2.c.o [ 25%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/u8maxpool/sub16-sse2.c.o In file included from /usr/include/c++/12/algorithm:61, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory_desc_wrapper.hpp:26, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory_storage.hpp:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory_tracking.hpp:24, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_amx_conv_kernel.cpp:18: In function ‘void std::__final_insertion_sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’, inlined from ‘void std::__sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’ at /usr/include/c++/12/bits/stl_algo.h:1940:31, inlined from ‘void std::sort(_RAIter, _RAIter, _Compare) [with _RAIter = int*; _Compare = dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)::]’ at /usr/include/c++/12/bits/stl_algo.h:4853:18, inlined from ‘bool dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:715:14, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:752:35: /usr/include/c++/12/bits/stl_algo.h:1849:32: warning: array subscript 16 is outside array bounds of ‘int [12]’ [-Warray-bounds] 1849 | std::__insertion_sort(__first, __first + int(_S_threshold), __comp); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp: In function ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:685:9: note: at offset 64 into object ‘perm’ of size 48 685 | int perm[DNNL_MAX_NDIMS] = {0}; | ^~~~ [ 25%] Built target dispavx_obj /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/u8clamp/sse2.c:19:49: warning: argument 4 of type ‘const union pytorch_qnnp_u8_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 19 | const union pytorch_qnnp_u8_clamping_params params[RESTRICT_STATIC 1]) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/u8clamp/sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/u8clamp.h:26:52: note: previously declared as ‘const union pytorch_qnnp_u8_clamping_params *’ 26 | const union pytorch_qnnp_u8_clamping_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/u8clamp.h:29:1: note: in expansion of macro ‘DECLARE_PYTORCH_U8CLAMP_UKERNEL_FUNCTION’ 29 | DECLARE_PYTORCH_U8CLAMP_UKERNEL_FUNCTION(pytorch_u8clamp_ukernel__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/u8rmax/sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:666:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 666 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__scalar_libm_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/x8zip/x2-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/u8maxpool/16x9p8q-sse2.c:23:49: warning: argument 8 of type ‘const union pytorch_qnnp_u8_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union pytorch_qnnp_u8_clamping_params params[RESTRICT_STATIC 1]) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/u8maxpool/16x9p8q-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/u8maxpool.h:30:52: note: previously declared as ‘const union pytorch_qnnp_u8_clamping_params *’ 30 | const union pytorch_qnnp_u8_clamping_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/u8maxpool.h:33:1: note: in expansion of macro ‘DECLARE_PYTORCH_U8MAXPOOL_UKERNEL_FUNCTION’ 33 | DECLARE_PYTORCH_U8MAXPOOL_UKERNEL_FUNCTION(pytorch_u8maxpool_ukernel_16x9p8q__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/u8maxpool/sub16-sse2.c:23:49: warning: argument 8 of type ‘const union pytorch_qnnp_u8_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union pytorch_qnnp_u8_clamping_params params[RESTRICT_STATIC 1]) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/u8maxpool/sub16-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/u8maxpool.h:30:52: note: previously declared as ‘const union pytorch_qnnp_u8_clamping_params *’ 30 | const union pytorch_qnnp_u8_clamping_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/u8maxpool.h:35:1: note: in expansion of macro ‘DECLARE_PYTORCH_U8MAXPOOL_UKERNEL_FUNCTION’ 35 | DECLARE_PYTORCH_U8MAXPOOL_UKERNEL_FUNCTION(pytorch_u8maxpool_ukernel_sub16__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x1.c.o [ 25%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_field_base.cc.o [ 25%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/Config.cpp.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/convolution-2d.c.o [ 25%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ConfigLoader.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x1.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:700:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 700 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__scalar_libm_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/DaemonConfigLoader.cpp.o [ 25%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/GenericTraceActivity.cpp.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x2.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/copy.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/deconvolution-2d.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/depth-to-space.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x2.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x4.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:701:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 701 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__scalar_libm_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:702:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 702 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__scalar_libm_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8vadd/sse2.c:21:9: warning: argument 5 of type ‘const union pytorch_qnnp_add_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union pytorch_qnnp_add_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 21 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8vadd/sse2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8vadd.h:27:57: note: previously declared as ‘const union pytorch_qnnp_add_quantization_params *’ 27 | const union pytorch_qnnp_add_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8vadd.h:30:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8VADD_UKERNEL_FUNCTION’ 30 | DECLARE_PYTORCH_Q8VADD_UKERNEL_FUNCTION(pytorch_q8vadd_ukernel__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x2.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x4.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/depthwise-convolution-2d.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x1.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:682:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 682 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__scalar_libm_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/x8zip/x3-sse2.c.o [ 25%] Building C object sleef/src/libm/CMakeFiles/sleef.dir/sleefdp.c.o [ 25%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ILoggerObserver.cpp.o [ 25%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDAException.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x2.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:683:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 683 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__scalar_libm_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:684:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 684 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__scalar_libm_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_conv_utils.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x1.c.o [ 26%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/x8zip/x4-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x1.c:25:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1088:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1088 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_lut64_p2_div_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::SendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::SendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:65:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/divide.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::RecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::RecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:157:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_inner_product.cpp.o [ 26%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/x8zip/xm-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x2.c:25:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1089:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1089 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_lut64_p2_div_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x4.c.o [ 26%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/factory.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x4.c:25:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1090:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1090 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_lut64_p2_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_u8.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/elu.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/queue.h: In instantiation of ‘void tensorpipe::Queue::push(T) [with T = tensorpipe::optional]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:68:17: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/queue.h:24:26: warning: comparison of integer expressions of different signedness: ‘std::deque, std::allocator > >::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 24 | while (items_.size() >= capacity_) { | ~~~~~~~~~~~~~~^~~~~~~~~~~~ [ 26%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/channel_impl.cc.o [ 26%] Linking CXX static library ../../lib/libpytorch_qnnpack.a [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x1.c:25:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1084:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1084 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_lut2048_p1_div_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x2.c.o [ 26%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_generator.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x2.c:25:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x4.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1085:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1085 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_lut2048_p1_div_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Built target pytorch_qnnpack [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/even-split.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/floor.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x4.c:25:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1086:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1086 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_lut2048_p1_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x1.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x1.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1092:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1092 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_p5_div_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x2.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1093:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1093 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_p5_div_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_helpers.cc.o In file included from /usr/include/c++/12/algorithm:61, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_common_conv_kernel.cpp:19: In function ‘void std::__final_insertion_sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’, inlined from ‘void std::__sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’ at /usr/include/c++/12/bits/stl_algo.h:1940:31, inlined from ‘void std::sort(_RAIter, _RAIter, _Compare) [with _RAIter = int*; _Compare = dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)::]’ at /usr/include/c++/12/bits/stl_algo.h:4853:18, inlined from ‘bool dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:715:14, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:752:35: /usr/include/c++/12/bits/stl_algo.h:1849:32: warning: array subscript 16 is outside array bounds of ‘int [12]’ [-Warray-bounds] 1849 | std::__insertion_sort(__first, __first + int(_S_threshold), __comp); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp: In function ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:685:9: note: at offset 64 into object ‘perm’ of size 48 685 | int perm[DNNL_MAX_NDIMS] = {0}; | ^~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:12, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/IpcFabricConfigClient.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/DaemonConfigLoader.cpp:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘auto dynolog::ipcfabric::EndPoint::buildCtxt_(const std::vector&, unsigned int) [with long unsigned int kMaxNumFds = 0]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:116:17: required from ‘auto dynolog::ipcfabric::EndPoint::buildSendCtxt(const std::string&, const std::vector&, const std::vector&) [with long unsigned int kMaxNumFds = 0; std::string = std::__cxx11::basic_string]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:126:36: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:238:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 238 | for (int i = 0; i < payload.size(); i++) { | ~~^~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x4.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/fully-connected.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x4.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1094:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1094 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_p5_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘bool dynolog::ipcfabric::EndPoint::tryPeekMsg(TCtxt&) [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:155:33: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:174:5: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 174 | throw std::runtime_error(std::strerror(errno)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘const char* dynolog::ipcfabric::EndPoint::getName(const TCtxt&) const [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:170:43: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:185:9: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 185 | throw std::invalid_argument( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 186 | "Unexpected socket name: " + std::string(ctxt.msg_name.sun_path) + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 187 | ". Expected to start with " + std::string(socket_dir)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:192:9: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 192 | throw std::invalid_argument( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 193 | "Expected abstract socket, got " + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 194 | std::string(ctxt.msg_name.sun_path)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘bool dynolog::ipcfabric::EndPoint::tryRcvMsg(TCtxt&) [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:178:34: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:160:5: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 160 | throw std::runtime_error(std::strerror(errno)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x1.c:21:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:788:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 788 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__scalar_sqrt_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_field_base.cc: In function ‘bool google::protobuf::compiler::csharp::AllPrintableAscii(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_field_base.cc:309:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 309 | for(int i = 0; i < text.size(); i++) { | ~~^~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/global-average-pooling.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x2.c:21:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:789:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 789 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__scalar_sqrt_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x4.c:21:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:790:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 790 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__scalar_sqrt_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-scalar-x1.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/hardswish.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/leaky-relu.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-scalar-x1.c:22:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-scalar-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:230:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 230 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-scalar-x2.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-scalar-x2.c:22:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-scalar-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:231:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 231 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::SendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::SendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:66:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/subgraph/leaky-relu.c: In function ‘xnn_define_leaky_relu’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/subgraph/leaky-relu.c:241:20: warning: comparison between ‘enum xnn_compute_type’ and ‘enum xnn_datatype’ [-Wenum-compare] 241 | if (compute_type == xnn_datatype_qint8 || compute_type == xnn_datatype_quint8) { | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/subgraph/leaky-relu.c:241:58: warning: comparison between ‘enum xnn_compute_type’ and ‘enum xnn_datatype’ [-Wenum-compare] 241 | if (compute_type == xnn_datatype_qint8 || compute_type == xnn_datatype_quint8) { | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::RecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::RecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:160:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 26%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/IpcFabricConfigClient.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-scalar-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-scalar-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:232:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 232 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_generator.cc: In member function ‘virtual bool google::protobuf::compiler::csharp::Generator::Generate(const google::protobuf::FileDescriptor*, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_generator.cc:75:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 75 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-scalar-x1.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/max-pooling-2d.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/maximum2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-scalar-x1.c:21:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:613:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 613 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_map_field.cc.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-scalar-x2.c:21:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:614:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 614 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/minimum2.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-scalar-x4.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-scalar-x4.c:21:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:615:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 615 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-scalar-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1119:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1119 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/multiply2.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-scalar-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1120:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1120 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/context_impl.cc.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-scalar-x4.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/negate.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/prelu.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-scalar-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1121:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1121 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/i16-vlshift/gen/i16-vlshift-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_helpers.cc: In function ‘std::string google::protobuf::compiler::csharp::UnderscoresToCamelCase(const std::string&, bool, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_helpers.cc:148:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 148 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_helpers.cc: In function ‘std::string google::protobuf::compiler::csharp::ShoutyToPascalCase(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_helpers.cc:201:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/i16-vlshift/gen/i16-vlshift-scalar-x2.c.o [ 26%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/factory.cc.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/i16-vlshift/gen/i16-vlshift-scalar-x3.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/sigmoid.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/i16-vlshift/gen/i16-vlshift-scalar-x4.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f32-f16-scalar-bitcast.c.o [ 26%] Building C object sleef/src/libm/CMakeFiles/sleef.dir/sleefsp.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f32-f16-scalar-fabsf.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/softmax.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:12, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/IpcFabricConfigClient.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/IpcFabricConfigClient.cpp:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘auto dynolog::ipcfabric::EndPoint::buildCtxt_(const std::vector&, unsigned int) [with long unsigned int kMaxNumFds = 0]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:116:17: required from ‘auto dynolog::ipcfabric::EndPoint::buildSendCtxt(const std::string&, const std::vector&, const std::vector&) [with long unsigned int kMaxNumFds = 0; std::string = std::__cxx11::basic_string]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:126:36: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:238:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 238 | for (int i = 0; i < payload.size(); i++) { | ~~^~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/space-to-depth-2d.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-scalar-rr2-lut4-p4.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-scalar-rr2-lut8-p3.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-scalar-rr2-lut8-p4.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/square-root.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘bool dynolog::ipcfabric::EndPoint::tryPeekMsg(TCtxt&) [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:155:33: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:174:5: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 174 | throw std::runtime_error(std::strerror(errno)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘const char* dynolog::ipcfabric::EndPoint::getName(const TCtxt&) const [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:170:43: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:185:9: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 185 | throw std::invalid_argument( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 186 | "Unexpected socket name: " + std::string(ctxt.msg_name.sun_path) + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 187 | ". Expected to start with " + std::string(socket_dir)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:192:9: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 192 | throw std::invalid_argument( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 193 | "Expected abstract socket, got " + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 194 | std::string(ctxt.msg_name.sun_path)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘bool dynolog::ipcfabric::EndPoint::tryRcvMsg(TCtxt&) [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:178:34: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:160:5: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 160 | throw std::runtime_error(std::strerror(errno)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_message.cc.o [ 26%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDAFunctions.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-scalar-rr2-lut16-p3.c.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_inner_product_utils.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-scalar-rr2-lut16-p4.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/square.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-scalar-rr2-p5.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:26: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc: In function ‘tensorpipe::Error tensorpipe::channel::cma::{anonymous}::callProcessVmReadv(void*, void*, size_t, pid_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:61:20: warning: comparison of integer expressions of different signedness: ‘ssize_t’ {aka ‘long int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 61 | } else if (nread != length) { | ~~~~~~^~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-scalar-rr2-p6.c.o [ 26%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDAMallocAsyncAllocator.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/squared-difference.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expminus-f32-scalar-rr2-lut64-p2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/queue.h: In instantiation of ‘void tensorpipe::Queue::push(T) [with T = tensorpipe::optional]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:324:17: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/queue.h:24:26: warning: comparison of integer expressions of different signedness: ‘std::deque, std::allocator > >::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 24 | while (items_.size() >= capacity_) { | ~~~~~~~~~~~~~~^~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expminus-f32-scalar-rr2-lut2048-p1.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.hpp:30, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:29: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 16 into object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 16 into object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: object ‘vreg_src’ of size 8 [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/static-constant-pad.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expminus-f32-scalar-rr2-p5.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundd-scalar-addsub.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/static-reshape.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundd-scalar-cvt.c.o [ 26%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackWeightsForConv.cc.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundd-scalar-floor.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundne-scalar-addsub.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/static-resize-bilinear-2d.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundne-scalar-nearbyint.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/static-slice.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundne-scalar-rint.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundu-scalar-addsub.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.hpp:22, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:27: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: at offset 16 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: at offset 16 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: at offset 16 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: at offset 16 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundu-scalar-ceil.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive.hpp:29, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.hpp:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:24: In static member function ‘static dnnl::impl::status_t dnnl::impl::primitive_desc_t::create(dnnl::impl::primitive_desc_t**, const dnnl::impl::op_desc_t*, const dnnl::impl::primitive_attr_t*, dnnl::impl::engine_t*, const dnnl::impl::primitive_desc_t*) [with pd_t = dnnl::impl::cpu::x64::brgemm_1x1_convolution_fwd_t::pd_t]’, inlined from ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:116:65: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive_desc.hpp:325:20: warning: array subscript ‘const dnnl::impl::op_desc_t[0]’ is partly outside array bounds of ‘dnnl::impl::convolution_desc_t [1]’ {aka ‘dnnl_convolution_desc_t [1]’} [-Warray-bounds] 325 | if (adesc->kind != pd_t::base_pkind && !valid_logsoftmax | ~~~~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp: In member function ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:108:24: note: object ‘fwd_conv_d’ of size 5976 108 | convolution_desc_t fwd_conv_d = convolution_desc_t(); | ^~~~~~~~~~ In static member function ‘static dnnl::impl::status_t dnnl::impl::primitive_desc_t::create(dnnl::impl::primitive_desc_t**, const dnnl::impl::op_desc_t*, const dnnl::impl::primitive_attr_t*, dnnl::impl::engine_t*, const dnnl::impl::primitive_desc_t*) [with pd_t = dnnl::impl::cpu::x64::brgemm_convolution_fwd_t::pd_t]’, inlined from ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:124:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive_desc.hpp:325:20: warning: array subscript ‘const dnnl::impl::op_desc_t[0]’ is partly outside array bounds of ‘dnnl::impl::convolution_desc_t [1]’ {aka ‘dnnl_convolution_desc_t [1]’} [-Warray-bounds] 325 | if (adesc->kind != pd_t::base_pkind && !valid_logsoftmax | ~~~~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp: In member function ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:108:24: note: object ‘fwd_conv_d’ of size 5976 108 | convolution_desc_t fwd_conv_d = convolution_desc_t(); | ^~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundu-scalar-cvt.c.o In static member function ‘static dnnl::impl::status_t dnnl::impl::primitive_desc_t::create(dnnl::impl::primitive_desc_t**, const dnnl::impl::op_desc_t*, const dnnl::impl::primitive_attr_t*, dnnl::impl::engine_t*, const dnnl::impl::primitive_desc_t*) [with pd_t = dnnl::impl::cpu::x64::brgemm_1x1_convolution_fwd_t::pd_t]’, inlined from ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:116:65: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive_desc.hpp:325:20: warning: array subscript ‘const dnnl::impl::op_desc_t[0]’ is partly outside array bounds of ‘dnnl::impl::convolution_desc_t [1]’ {aka ‘dnnl_convolution_desc_t [1]’} [-Warray-bounds] 325 | if (adesc->kind != pd_t::base_pkind && !valid_logsoftmax | ~~~~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp: In member function ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:108:24: note: object ‘fwd_conv_d’ of size 5976 108 | convolution_desc_t fwd_conv_d = convolution_desc_t(); | ^~~~~~~~~~ In static member function ‘static dnnl::impl::status_t dnnl::impl::primitive_desc_t::create(dnnl::impl::primitive_desc_t**, const dnnl::impl::op_desc_t*, const dnnl::impl::primitive_attr_t*, dnnl::impl::engine_t*, const dnnl::impl::primitive_desc_t*) [with pd_t = dnnl::impl::cpu::x64::brgemm_convolution_fwd_t::pd_t]’, inlined from ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:124:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive_desc.hpp:325:20: warning: array subscript ‘const dnnl::impl::op_desc_t[0]’ is partly outside array bounds of ‘dnnl::impl::convolution_desc_t [1]’ {aka ‘dnnl_convolution_desc_t [1]’} [-Warray-bounds] 325 | if (adesc->kind != pd_t::base_pkind && !valid_logsoftmax | ~~~~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp: In member function ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:108:24: note: object ‘fwd_conv_d’ of size 5976 108 | convolution_desc_t fwd_conv_d = convolution_desc_t(); | ^~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/static-transpose.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/subtract.c.o In static member function ‘static dnnl::impl::status_t dnnl::impl::primitive_desc_t::create(dnnl::impl::primitive_desc_t**, const dnnl::impl::op_desc_t*, const dnnl::impl::primitive_attr_t*, dnnl::impl::engine_t*, const dnnl::impl::primitive_desc_t*) [with pd_t = dnnl::impl::cpu::x64::brgemm_1x1_convolution_fwd_t::pd_t]’, inlined from ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16_amx_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:116:65: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive_desc.hpp:325:20: warning: array subscript ‘const dnnl::impl::op_desc_t[0]’ is partly outside array bounds of ‘dnnl::impl::convolution_desc_t [1]’ {aka ‘dnnl_convolution_desc_t [1]’} [-Warray-bounds] 325 | if (adesc->kind != pd_t::base_pkind && !valid_logsoftmax | ~~~~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp: In member function ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16_amx_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:108:24: note: object ‘fwd_conv_d’ of size 5976 108 | convolution_desc_t fwd_conv_d = convolution_desc_t(); | ^~~~~~~~~~ In static member function ‘static dnnl::impl::status_t dnnl::impl::primitive_desc_t::create(dnnl::impl::primitive_desc_t**, const dnnl::impl::op_desc_t*, const dnnl::impl::primitive_attr_t*, dnnl::impl::engine_t*, const dnnl::impl::primitive_desc_t*) [with pd_t = dnnl::impl::cpu::x64::brgemm_convolution_fwd_t::pd_t]’, inlined from ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16_amx_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:124:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive_desc.hpp:325:20: warning: array subscript ‘const dnnl::impl::op_desc_t[0]’ is partly outside array bounds of ‘dnnl::impl::convolution_desc_t [1]’ {aka ‘dnnl_convolution_desc_t [1]’} [-Warray-bounds] 325 | if (adesc->kind != pd_t::base_pkind && !valid_logsoftmax | ~~~~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp: In member function ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16_amx_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:108:24: note: object ‘fwd_conv_d’ of size 5976 108 | convolution_desc_t fwd_conv_d = convolution_desc_t(); | ^~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundz-scalar-addsub.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/unpooling-2d.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundz-scalar-cvt.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundz-scalar-trunc.c.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_message_field.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-scalar-rr2-lut64-p2-div.c.o [ 27%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDAMiscFunctions.cpp.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_primitive_field.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/injector_utils.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_postops_injector.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.hpp:32, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:22: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 16 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 16 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDAStream.cpp.o [ 27%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/Logger.cpp.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_reflection_class.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/validation.c.o [ 27%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/init.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc: In member function ‘void google::protobuf::compiler::csharp::MessageGenerator::GenerateWriteToBody(google::protobuf::io::Printer*, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc:573:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 573 | for (int i = 0; i < fields_by_number().size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc: In member function ‘void google::protobuf::compiler::csharp::MessageGenerator::GenerateMainParseLoop(google::protobuf::io::Printer*, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc:716:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 716 | for (int i = 0; i < fields_by_number().size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc: In member function ‘int google::protobuf::compiler::csharp::MessageGenerator::GetPresenceIndex(const google::protobuf::FieldDescriptor*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc:758:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 758 | for (int i = 0; i < fields_by_number().size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-scalar-rr2-lut2048-p1-div.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-scalar-rr2-p5-div.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/tensor.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u32-scalar-bitmanip.c.o [ 27%] Building C object sleef/src/libm/CMakeFiles/sleef.dir/rempitab.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u32-scalar-clz-binsearch.c.o [ 27%] Building C object sleef/src/libm/CMakeFiles/sleef.dir/sleefld.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u32-scalar-clz-newton.c.o [ 27%] Built target subgraph [ 27%] Building C object sleef/src/libm/CMakeFiles/sleef.dir/sleefqp.c.o [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/channel_impl.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u32-scalar-cvti32-sqrt-lrint.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/XNNPACK.dir/src/binary-elementwise-config.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/XNNPACK.dir/src/init.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u32-scalar-cvti64-sqrt-lrint.c.o [ 27%] Linking C static library ../../lib/libsleef.a [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u32-scalar-cvti64-sqrtf-lrintf.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u32-scalar-cvtu32-sqrt-lrint.c.o [ 27%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/impl/CUDAGuardImpl.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u32-scalar-cvtu32-sqrtf-lrintf.c.o [ 27%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/impl/CUDATest.cpp.o [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/context_impl.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/gemm/gemm.hpp:30, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/ref_rnn.cpp:37: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:600:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_gru_cell_postgemm_1_bwd.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/postgemm_dispatcher.hpp:30, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/ref_rnn.hpp:34, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/ref_rnn.cpp:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:44: note: object ‘s’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::divps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:216:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vdivps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:614:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:613:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:51: note: object ‘tmp1’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u32-scalar-hashemian.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u32-scalar-tflm.c.o [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/factory.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u64-scalar-cvtu32-sqrt-cvtsatu32f64.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_transpose_utils.cpp.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_gemm_inner_product_utils.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u64-scalar-cvtu32-sqrt-llrint.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/XNNPACK.dir/src/params.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_gemm_x8s8s32x_conv_zp_src_pad_comp.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u64-scalar-cvtu64-sqrt-llrint.c.o [ 27%] Built target sleef [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/XNNPACK.dir/src/transpose-config.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/tanh-f32-scalar-rr1-p6-div.c.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_repeated_enum_field.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/injector_utils.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:28: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2005:19, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_repeated_message_field.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/XNNPACK.dir/src/x8-lut-config.c.o [ 27%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/output_csv.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/tanh-f32-scalar-rr2-p6-div.c.o [ 27%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/output_json.cpp.o [ 27%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackWeightsForDirectConv.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p1c-minmax-fp32-scalar-fmagic.c.o In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2005:19, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 [ 27%] Linking CXX static library ../../lib/libXNNPACK.a [ 27%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/QuantUtils.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:954:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 954 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/RowWiseSparseAdagradFused.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p2c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:955:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 955 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_repeated_primitive_field.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p2c-minmax-fp32-scalar-lrintf.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_gemm_x8s8s32x_convolution_utils.cpp.o [ 27%] Built target XNNPACK [ 27%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/SparseAdagrad.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:956:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 956 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2005:19, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1024:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1024 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-imagic.c.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_source_generator_base.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1028:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1028 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p1c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_sse41_1x1_conv_kernel_f32.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:19, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::SendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:74:20: required from ‘void tensorpipe::OpsStateMachine::advanceAllOperations() [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::SendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:131:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::RecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:74:20: required from ‘void tensorpipe::OpsStateMachine::advanceAllOperations() [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::RecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:132:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1032:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1032 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p1c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1025:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1025 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p2c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-imagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1029:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1029 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1033:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1033 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1026:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1026 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p4c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/spmmUtils.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1030:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1030 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p4c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/TransposeUtils.cc.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_wrapper_field.cc.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_context.cc.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_bf16.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_doc_comment.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_sse41_1x1_convolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1034:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1034 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p4c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_sse41_conv_kernel_f32.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_enum.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1101:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1101 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/connection_impl.cc.o [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/context_impl.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1105:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1105 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p1c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1109:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1109 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p1c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Linking CXX shared library ../../lib/libc10_cuda.so [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/error.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1102:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1102 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p2c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1106:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1106 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c.o [ 27%] Built target c10_cuda [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_doc_comment.cc: In function ‘void google::protobuf::compiler::java::WriteDocCommentBodyForLocation(google::protobuf::io::Printer*, const google::protobuf::SourceLocation&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_doc_comment.cc:125:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 125 | for (int i = 0; i < lines.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1103:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1103 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p4c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1110:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1110 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_enum_field.cc.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_sse41_convolution.cpp.o [ 27%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateI8Depthwise.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-imagic.c.o [ 27%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/RefImplementations.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1107:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1107 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p4c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_context.cc: In member function ‘void google::protobuf::compiler::java::Context::InitializeFieldGeneratorInfoForFields(const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_context.cc:131:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 131 | for (int i = 0; i < fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_context.cc:134:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 134 | for (int j = i + 1; j < fields.size(); ++j) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_context.cc:153:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (int i = 0; i < fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/Utils.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc: In member function ‘void google::protobuf::compiler::java::EnumGenerator::Generate(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc:88:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 88 | for (int i = 0; i < canonical_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc:96:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 96 | for (int i = 0; i < canonical_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < aliases_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc:202:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 202 | for (int i = 0; i < canonical_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc: In member function ‘bool google::protobuf::compiler::java::EnumGenerator::CanUseEnumValues()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc:376:32: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 376 | if (canonical_values_.size() != descriptor_->value_count()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_enum_field_lite.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1111:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1111 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p4c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1952:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1952 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1961:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1961 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-lrintf.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1970:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1970 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-fmagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/error.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1953:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1953 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_transpose_utils.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1962:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1962 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_enum_lite.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-lrintf.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_batch_normalization.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1971:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1971 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1954:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1954 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1963:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1963 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-lrintf.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_batch_normalization_s8.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1972:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1972 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_extension.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1955:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1955 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_field.cc.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_extension_lite.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-imagic.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_binary.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1964:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1964 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-lrintf.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-fmagic.c.o [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/factory.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1956:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1956 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1973:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1973 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/listener_impl.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1965:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1965 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/loop.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1974:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1974 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum_lite.cc: In member function ‘void google::protobuf::compiler::java::EnumLiteGenerator::Generate(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum_lite.cc:87:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 87 | for (int i = 0; i < canonical_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum_lite.cc:110:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 110 | for (int i = 0; i < aliases_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum_lite.cc:171:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 171 | for (int i = 0; i < canonical_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1957:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1957 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-imagic.c.o [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/sockaddr.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1966:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1966 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/utility.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-lrintf.c.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_file.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1975:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1975 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_generator.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-fmagic.c.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1958:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1958 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1967:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1967 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 28%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/epoll_loop.cc.o [ 28%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/shm_segment.cc.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1976:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1976 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 28%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/connection_impl.cc.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-fmagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/loop.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1959:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1959 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 28%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_binary_kernel.cpp.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-imagic.c.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1977:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1977 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1968:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1968 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 28%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_deconv_zp_pad_str_kernel.cpp.o [ 28%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_dw_conv_kernel_f32.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_file.cc: In function ‘bool google::protobuf::compiler::java::{anonymous}::CollectExtensions(const google::protobuf::Message&, FieldDescriptorSet*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_file.cc:96:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 96 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x2-minmax-fp32-scalar-fmagic.c.o [ 28%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_dw_conv_kernel_utils.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_u8_copy_sum_at_kern_autogen.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8_copy_sum_at_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_u8_copy_sum_at_kern_autogen.cpp:29:6: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 29 | void jit_avx512_core_u8_copy_sum_at_kern::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc: In member function ‘virtual bool google::protobuf::compiler::java::JavaGenerator::Generate(const google::protobuf::FileDescriptor*, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:76:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 76 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:129:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 129 | for (int i = 0; i < file_generators.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:131:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 131 | for (int j = 0; j < file_generators.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:138:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 138 | for (int i = 0; i < file_generators.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:176:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 176 | for (int i = 0; i < file_generators.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:188:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 188 | for (int i = 0; i < all_files.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:199:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 199 | for (int i = 0; i < all_annotations.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x2-minmax-fp32-scalar-imagic.c.o In file included from /usr/include/c++/12/algorithm:61, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16_conv_kernel.cpp:21: In function ‘void std::__final_insertion_sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’, inlined from ‘void std::__sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’ at /usr/include/c++/12/bits/stl_algo.h:1940:31, inlined from ‘void std::sort(_RAIter, _RAIter, _Compare) [with _RAIter = int*; _Compare = dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)::]’ at /usr/include/c++/12/bits/stl_algo.h:4853:18, inlined from ‘bool dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:715:14, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:752:35: /usr/include/c++/12/bits/stl_algo.h:1849:32: warning: array subscript 16 is outside array bounds of ‘int [12]’ [-Warray-bounds] 1849 | std::__insertion_sort(__first, __first + int(_S_threshold), __comp); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp: In function ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:685:9: note: at offset 64 into object ‘perm’ of size 48 685 | int perm[DNNL_MAX_NDIMS] = {0}; | ^~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.h:41, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_file.cc:45: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h: In instantiation of ‘void google::protobuf::io::AnnotationProtoCollector::AddAnnotation(size_t, size_t, const std::string&, const std::vector&) [with AnnotationProto = google::protobuf::GeneratedCodeInfo; size_t = long unsigned int; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:85:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:90:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 90 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x2-minmax-fp32-scalar-lrintf.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.h:41, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:42: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h: In instantiation of ‘void google::protobuf::io::AnnotationProtoCollector::AddAnnotation(size_t, size_t, const std::string&, const std::vector&) [with AnnotationProto = google::protobuf::GeneratedCodeInfo; size_t = long unsigned int; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:85:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:90:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 90 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_generator_factory.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/utility.cc:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4-minmax-fp32-scalar-fmagic.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4-minmax-fp32-scalar-imagic.c.o [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_helpers.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4-minmax-fp32-scalar-lrintf.c.o [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_dw_convolution.cpp.o [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_eltwise.cpp.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x2-minmax-fp32-scalar-fmagic.c.o [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_eltwise_int.cpp.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x2-minmax-fp32-scalar-imagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of ‘tensorpipe::Error tensorpipe::recvFromSocket(int, T&, T&, Fds& ...) [with T = unsigned int; Fds = {Fd, Fd, Fd, Fd}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:253:26: required from ‘tensorpipe::Error tensorpipe::Socket::recvPayloadAndFds(T&, T&, Fds& ...) [with T = unsigned int; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}; typename std::enable_if::value, bool>::type = false]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:219:41: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:154:12: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | if (rv != iov.iov_len) { | ~~~^~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_map_field.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of ‘tensorpipe::Error tensorpipe::sendToSocket(int, const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:243:24: required from ‘tensorpipe::Error tensorpipe::Socket::sendPayloadAndFds(const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}; typename std::enable_if::value, bool>::type = false]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:274:41: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:107:12: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 107 | if (rv != iov.iov_len) { | ~~~^~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x2-minmax-fp32-scalar-lrintf.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4-minmax-fp32-scalar-fmagic.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of ‘void tensorpipe::{anonymous}::loadFdsFromArray(int*, std::index_sequence, Fds& ...) [with long unsigned int ...Idxs = {0, 1, 2, 3}; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}; std::index_sequence = std::integer_sequence]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:171:19: required from ‘tensorpipe::Error tensorpipe::recvFromSocket(int, T&, T&, Fds& ...) [with T = unsigned int; Fds = {Fd, Fd, Fd, Fd}]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:253:26: required from ‘tensorpipe::Error tensorpipe::Socket::recvPayloadAndFds(T&, T&, Fds& ...) [with T = unsigned int; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}; typename std::enable_if::value, bool>::type = false]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:219:41: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:58:8: warning: unused variable ‘dummy’ [-Wunused-variable] 58 | auto dummy = {(loadOneFdFromArray(array[Idxs], fds), 0)...}; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of ‘void tensorpipe::{anonymous}::saveFdsToArray(int*, std::index_sequence, const Fds& ...) [with long unsigned int ...Idxs = {0, 1, 2, 3}; Fds = {int, int, int, int}; std::index_sequence = std::integer_sequence]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:96:17: required from ‘tensorpipe::Error tensorpipe::sendToSocket(int, const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:243:24: required from ‘tensorpipe::Error tensorpipe::Socket::sendPayloadAndFds(const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}; typename std::enable_if::value, bool>::type = false]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:274:41: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:41:8: warning: unused variable ‘dummy’ [-Wunused-variable] 41 | auto dummy = {(saveOneFdToArray(array[Idxs], fds), 0)...}; | ^~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_map_field_lite.cc.o [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_message.cc.o [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_message_builder.cc.o [ 29%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/context_impl.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.cc: In function ‘bool google::protobuf::compiler::java::{anonymous}::IsForbidden(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.cc:93:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 93 | for (int i = 0; i < GOOGLE_ARRAYSIZE(kForbiddenWordList); ++i) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.cc: In function ‘std::string google::protobuf::compiler::java::UnderscoresToCamelCase(const std::string&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.cc:162:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 162 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.cc: In function ‘bool google::protobuf::compiler::java::AllAscii(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.cc:492:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 492 | for (int i = 0; i < text.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x2-minmax-fp32-scalar-fmagic.c.o [ 29%] Built target kineto_base [ 29%] Linking CXX static library ../../../lib/libkineto.a [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_message_builder_lite.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x2-minmax-fp32-scalar-imagic.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x2-minmax-fp32-scalar-lrintf.c.o [ 29%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/factory.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4-minmax-fp32-scalar-fmagic.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4-minmax-fp32-scalar-imagic.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4-minmax-fp32-scalar-lrintf.c.o [ 29%] Built target kineto Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_f32.o [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_i8i8_pooling.cpp.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x2-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message.cc: In member function ‘void google::protobuf::compiler::java::ImmutableMessageGenerator::GenerateMessageSerializationMethods(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message.cc:614:44: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 614 | i < descriptor_->field_count() || j < sorted_extensions.size();) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message.cc:617:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 617 | } else if (j == sorted_extensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message.cc: In member function ‘void google::protobuf::compiler::java::ImmutableMessageGenerator::GenerateDescriptorMethods(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message.cc:830:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 830 | for (int i = 0; i < map_fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:635:22, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:709:38: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:703:10: note: object ‘dst’ of size 8 703 | void to_float(const Vmm &dst, const Xbyak::Address &src, data_type_t src_dt, | ^~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:600:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:44: note: object ‘s’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::divps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:216:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vdivps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:614:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:613:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:51: note: object ‘tmp1’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message_builder.cc: In member function ‘void google::protobuf::compiler::java::MessageBuilderGenerator::GenerateDescriptorMethods(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message_builder.cc:225:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | for (int i = 0; i < map_fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message_builder.cc:250:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | for (int i = 0; i < map_fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x2-minmax-fp32-scalar-lrintf.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4-minmax-fp32-scalar-fmagic.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4-minmax-fp32-scalar-imagic.c.o [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_layer_normalization.cpp.o [ 29%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/listener_impl.cc.o [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_pool_kernel.cpp.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4-minmax-fp32-scalar-lrintf.c.o [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_pooling.cpp.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/context_impl.cc:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:764:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 764 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_message_field.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-imagic.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:635:22, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:709:38: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:703:10: note: object ‘dst’ of size 8 703 | void to_float(const Vmm &dst, const Xbyak::Address &src, data_type_t src_dt, | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:768:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 768 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p1c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:772:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 772 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p1c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-rndnu-scalar.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:760:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 760 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_rndnu_ukernel_9p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:765:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 765 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p2c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/reactor.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:769:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 769 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/sockaddr.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:773:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 773 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-rndnu-scalar.c.o [ 29%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/ibv.cc.o [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_reduction.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:761:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 761 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_rndnu_ukernel_9p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:766:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 766 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p4c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Generating src/x86_64-fma/2d-winograd-8x8-3x3.py.o [ 29%] Built target ATEN_CPU_FILES_GEN_TARGET [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_reduction_kernel.cpp.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-imagic.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:770:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 770 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p4c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:774:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 774 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p4c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_reorder.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/busy_polling_loop.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/reactor.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h: In instantiation of ‘ssize_t tensorpipe::RingBufferRole::write(const void*, size_t) [with int NumRoles = 2; int RoleIdx = 1; ssize_t = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:22:29: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h:270:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 270 | TP_DCHECK_EQ(ret, size); | ^~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h: In instantiation of ‘ssize_t tensorpipe::RingBufferRole::read(void*, size_t) [with int NumRoles = 2; int RoleIdx = 0; ssize_t = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:114:34: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h:248:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 248 | TP_DCHECK_EQ(ret, size); | ^~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:762:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 762 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_rndnu_ukernel_9p4c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:856:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 856 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-imagic.c.o [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_reorder_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:860:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 860 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p1c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:864:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 864 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p1c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/connection_impl.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:857:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 857 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p2c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/context_impl.cc.o [ 29%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/error.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-imagic.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:861:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 861 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:865:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 865 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_message_field_lite.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:858:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 858 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p4c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.hpp:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:21: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 16 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 16 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 16 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 16 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2005:19, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 16 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 16 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 16 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 16 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 16 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 16 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2005:19, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 16 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 16 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:862:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 862 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p4c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:866:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 866 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p4c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x1.c:21:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:386:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 386 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/factory.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x2.c:21:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:387:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 387 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x3.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x3.c:21:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:388:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 388 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__scalar_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x4.c:21:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:389:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 389 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_message_lite.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c1.c:24:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:145:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 145 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_fmagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c2.c:24:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:146:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 146 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_fmagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/context_impl.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 29%] Generating src/x86_64-fma/blas/s8gemm.py.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c4.c.o [ 29%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/listener_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c4.c:24:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:147:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 147 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_fmagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/reactor.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c1.c:24:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:141:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 141 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_imagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c2.c:24:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:142:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 142 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_imagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c4.c.o [ 29%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/sockaddr.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c4.c:24:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:143:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 143 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_imagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Generating src/x86_64-fma/blas/c8gemm.py.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c1.c:25:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:149:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 149 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_lrintf_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:635:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:619:20: note: object ‘dst’ of size 8 619 | void deq_h(Vmm dst, Xbyak::Address src, int in_len) { | ~~~~^~~ [ 29%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/utility.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c2.c:25:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:150:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 150 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_lrintf_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c:25:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:151:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 151 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_lrintf_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_name_resolver.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c:23:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:196:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 196 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_fmagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c2.c:23:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:197:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 197 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_fmagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c4.c:23:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:198:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 198 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_fmagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c:23:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:192:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 192 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_imagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/utility.cc:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c:23:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:193:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 193 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_imagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c:23:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:194:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 194 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_imagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c1.c:24:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:200:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 200 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_lrintf_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_resampling.cpp.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_i64.o [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_resampling_kernel.cpp.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c2.c.o [ 30%] Generating src/x86_64-fma/blas/s4c6gemm.py.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c4.c.o [ 30%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_primitive_field.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c2.c:24:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:201:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 201 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_lrintf_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c4.c:24:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_primitive_field_lite.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:202:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 202 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_lrintf_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 30%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_service.cc.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1585:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1585 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-imagic.c.o [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_softmax.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1594:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1594 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1603:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1603 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1576:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1576 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_1x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1586:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1586 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1595:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1595 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1604:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1604 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-rndnu-scalar.c.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1577:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1577 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1587:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1587 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_tbb_batch_normalization.cpp.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1596:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1596 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-lrintf.c.o [ 30%] Generating src/x86_64-fma/blas/conv1x1.py.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1605:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1605 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1578:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1578 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_2x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1588:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1588 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1597:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1597 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-lrintf.c.o [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_x8s8s32x_1x1_conv_kernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1606:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1606 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Generating src/x86_64-fma/blas/sgemm.py.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1579:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1579 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1589:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1589 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_shared_code_generator.cc.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1598:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1598 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-lrintf.c.o [ 30%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_string_field.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1607:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1607 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-rndnu-scalar.c.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1580:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1580 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_3x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_bf16.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_f64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_i8.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1590:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1590 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_f32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_f16.o [ 30%] Generating src/x86_64-fma/max-pooling.py.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-imagic.c.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1599:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1599 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1608:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1608 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_x8s8s32x_1x1_convolution.cpp.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-rndnu-scalar.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:22: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtps2dq(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:196:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtps2dq(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1481:21, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::process_linear(const Vmm&, const Vmm&) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:272:18, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::compute_step(bool, size_t, size_t, dnnl::impl::alg_kind_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:243:35, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::generate() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:115:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp: In member function ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::generate() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:243:43: note: object ‘’ of size 8 243 | process_linear(vreg_to(i), vreg_from(i)); | ~~~~~~~^~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:588:55, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::process_relu(const Vmm&, const Vmm&) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:290:11, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::compute_step(bool, size_t, size_t, dnnl::impl::alg_kind_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:247:33, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::generate() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:115:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp: In member function ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::generate() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:247:55: note: object ‘’ of size 8 247 | process_relu(vreg_to(i), vreg_from(i)); | ~~~~~~~~~^~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::blendvps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:76:57, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::process_relu(const Vmm&, const Vmm&) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:292:13, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::compute_step(bool, size_t, size_t, dnnl::impl::alg_kind_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:247:33, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::generate() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:115:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp: In member function ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::generate() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:247:55: note: object ‘’ of size 8 247 | process_relu(vreg_to(i), vreg_from(i)); | ~~~~~~~~~^~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtps2dq(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:196:57, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::process_relu(const Vmm&, const Vmm&) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:293:13, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::compute_step(bool, size_t, size_t, dnnl::impl::alg_kind_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:247:33, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::generate() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:115:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp: In member function ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::generate() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:247:41: note: object ‘’ of size 8 247 | process_relu(vreg_to(i), vreg_from(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1581:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1581 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_3x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1591:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1591 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Generating src/x86_64-fma/relu.py.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1600:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1600 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_shared_code_generator.cc: In member function ‘void google::protobuf::compiler::java::SharedCodeGenerator::GenerateDescriptors(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_shared_code_generator.cc:145:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 145 | for (int i = 0; i < file_data.size(); i += kBytesPerLine) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_shared_code_generator.cc:185:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 185 | for (int i = 0; i < dependencies.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1609:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1609 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Generating src/x86_64-fma/softmax.py.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-rndnu-scalar.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.h:41, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_shared_code_generator.cc:37: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h: In instantiation of ‘void google::protobuf::io::AnnotationProtoCollector::AddAnnotation(size_t, size_t, const std::string&, const std::vector&) [with AnnotationProto = google::protobuf::GeneratedCodeInfo; size_t = long unsigned int; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:85:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:90:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 90 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1582:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1582 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-fmagic.c.o [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_x8s8s32x_conv_kernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1592:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1592 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_x8s8s32x_convolution.cpp.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1601:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1601 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_binary_injector.hpp:33, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.hpp:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:23: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 16 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 16 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1610:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1610 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 16 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 16 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_x8s8s32x_deconvolution.cpp.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1583:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1583 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn.cpp.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x2-minmax-fp32-scalar-fmagic.c.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x2-minmax-fp32-scalar-imagic.c.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x2-minmax-fp32-scalar-lrintf.c.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x2-minmax-rndnu-scalar.c.o [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn_bwd_base.cpp.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4-minmax-fp32-scalar-fmagic.c.o [ 30%] Linking CXX static library ../../../lib/libtensorpipe.a [ 30%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_string_field_lite.cc.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4-minmax-fp32-scalar-imagic.c.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4-minmax-fp32-scalar-lrintf.c.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4-minmax-rndnu-scalar.c.o [ 30%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/js/js_generator.cc.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x2-minmax-fp32-scalar-fmagic.c.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x2-minmax-fp32-scalar-imagic.c.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x2-minmax-fp32-scalar-lrintf.c.o [ 30%] Generating src/x86_64-fma/blas/sdotxf.py.o [ 30%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/js/well_known_types_embed.cc.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x2-minmax-rndnu-scalar.c.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4-minmax-fp32-scalar-fmagic.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_u8.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_u64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_u32.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4-minmax-fp32-scalar-imagic.c.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4-minmax-fp32-scalar-lrintf.c.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4-minmax-rndnu-scalar.c.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x2-minmax-fp32-scalar-fmagic.c.o [ 30%] Built target tensorpipe /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::vector > google::protobuf::compiler::js::{anonymous}::ParseLowerUnderscore(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:279:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 279 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::vector > google::protobuf::compiler::js::{anonymous}::ParseUpperCamel(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:298:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 298 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::string google::protobuf::compiler::js::{anonymous}::ToLowerCamel(const std::vector >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:313:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 313 | for (int i = 0; i < words.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::string google::protobuf::compiler::js::{anonymous}::ToUpperCamel(const std::vector >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:327:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 327 | for (int i = 0; i < words.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::string google::protobuf::compiler::js::{anonymous}::ToEnumCase(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:344:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 344 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::string google::protobuf::compiler::js::{anonymous}::ToLower(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:359:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 359 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::string google::protobuf::compiler::js::{anonymous}::RelativeTypeName(const google::protobuf::FieldDescriptor*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1252:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1252 | for (int i = 0; i < type.size() && i < containing_type.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1252:40: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1252 | for (int i = 0; i < type.size() && i < containing_type.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1256:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1256 | if (type[i] == '.' && i >= package.size()) { | ~~^~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘void google::protobuf::compiler::js::{anonymous}::GenerateJspbFileOrder(const std::vector&, std::vector*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1522:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1522 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘bool google::protobuf::compiler::js::{anonymous}::GenerateJspbAllowedMap(const google::protobuf::compiler::js::GeneratorOptions&, const std::vector&, std::map >*, google::protobuf::compiler::SCCAnalyzer*, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1572:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1572 | for (int i = 0; i < files_ordered.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘void google::protobuf::compiler::js::Generator::FindProvides(const google::protobuf::compiler::js::GeneratorOptions&, google::protobuf::io::Printer*, const std::vector&, std::set >*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1676:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1676 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘void google::protobuf::compiler::js::Generator::FindProvidesForFields(const google::protobuf::compiler::js::GeneratorOptions&, google::protobuf::io::Printer*, const std::vector&, std::set >*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1737:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1737 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘void google::protobuf::compiler::js::Generator::GenerateRequiresForLibrary(const google::protobuf::compiler::js::GeneratorOptions&, google::protobuf::io::Printer*, const std::vector&, std::set >*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1817:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1817 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘void google::protobuf::compiler::js::Generator::GenerateRequiresForExtensions(const google::protobuf::compiler::js::GeneratorOptions&, google::protobuf::io::Printer*, const std::vector&, std::set >*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1860:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1860 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘bool google::protobuf::compiler::js::GeneratorOptions::ParseFromOptions(const std::vector, std::__cxx11::basic_string > >&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:3469:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3469 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘void google::protobuf::compiler::js::Generator::GenerateFilesInDepOrder(const google::protobuf::compiler::js::GeneratorOptions&, google::protobuf::io::Printer*, const std::vector&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:3578:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3578 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘virtual bool google::protobuf::compiler::js::Generator::GenerateAll(const std::vector&, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:3744:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3744 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:3766:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3766 | for (int i = 0; i < extensions.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:3788:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3788 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:3938:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3938 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x2-minmax-fp32-scalar-lrintf.c.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x2-minmax-rndnu-scalar.c.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4-minmax-fp32-scalar-fmagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/injector_utils.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_postops_injector.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.hpp:26, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:19: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_fp16; Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_fp16; Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:48: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h: In instantiation of ‘void google::protobuf::io::AnnotationProtoCollector::AddAnnotation(size_t, size_t, const std::string&, const std::vector&) [with AnnotationProto = google::protobuf::GeneratedCodeInfo; size_t = long unsigned int; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:85:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:90:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 90 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4-minmax-fp32-scalar-imagic.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16; Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16; Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Ymm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Ymm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ [ 30%] Generating src/x86_64-fma/blas/shdotxf.py.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4-minmax-fp32-scalar-lrintf.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Ymm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Ymm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn_bwd_blocked.cpp.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 16 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 8 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 8 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 8 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 8 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 8 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 16 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 16 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 8 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 8 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 8 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 8 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 8 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 16 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4-minmax-rndnu-scalar.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Ymm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Ymm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x2-minmax-fp32-scalar-fmagic.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16; Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16; Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reorder.cpp:34: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opIncDec(const Xbyak::Operand&, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2145:10, inlined from ‘void Xbyak::CodeGenerator::opIncDec(const Xbyak::Operand&, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2132:7, inlined from ‘void Xbyak::CodeGenerator::dec(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:213:39, inlined from ‘void dnnl::impl::cpu::x64::tr::jit_uni_reorder_kernel_f32_t::loop_end(Xbyak::Label&, Xbyak::Reg64, int, int, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reorder.cpp:1232:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reorder.cpp: In member function ‘void dnnl::impl::cpu::x64::tr::jit_uni_reorder_kernel_f32_t::loop_end(Xbyak::Label&, Xbyak::Reg64, int, int, int, int, int, int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reorder.cpp:1224:41: note: object ‘reg_cnt’ of size 8 1224 | void loop_end(Label &l, const Reg64 reg_cnt, int len, int i_step, | ~~~~~~~~~~~~^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Ymm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Ymm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x2-minmax-fp32-scalar-imagic.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_fp16; Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_fp16; Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x2-minmax-fp32-scalar-lrintf.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ [ 30%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_enum.cc.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x2-minmax-rndnu-scalar.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4-minmax-fp32-scalar-fmagic.c.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn_bwd_nhwc.cpp.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn_fwd_base.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4-minmax-fp32-scalar-imagic.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4-minmax-fp32-scalar-lrintf.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4-minmax-rndnu-scalar.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-fp32-scalar-fmagic.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-fp32-scalar-lrintf.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-gemmlowp-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc: In member function ‘void google::protobuf::compiler::objectivec::EnumGenerator::GenerateHeader(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc:126:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 126 | for (int i = 0; i < all_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc: In member function ‘void google::protobuf::compiler::objectivec::EnumGenerator::GenerateSource(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc:177:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | for (int i = 0; i < all_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc:196:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 196 | for (int i = 0; i < text_blob.size(); i += kBytesPerLine) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc:204:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 204 | for (int i = 0; i < all_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc:245:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 245 | for (int i = 0; i < base_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-scalar-signed64.c.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_enum_field.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-scalar-unsigned32.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-scalar-unsigned64.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndnu-scalar.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x1.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:166:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 166 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_extension.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:167:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 167 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_field.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:168:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 168 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x1.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:221:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 221 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn_fwd_blocked.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:222:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 222 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.hpp:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:30: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 16 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 16 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 16 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 16 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:223:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 223 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-scalar-x1.c:20:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:339:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 339 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-scalar-x2.c:20:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:340:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 340 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-scalar-x4.c:20:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:341:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 341 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x1.c:20:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:65:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 65 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__scalar_andxor_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x2.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 16 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 8 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 8 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 8 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 8 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 8 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 16 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x2.c:20:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:66:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 66 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__scalar_andxor_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x4.c.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn_fwd_nhwc.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x1.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x4.c:20:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:67:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 67 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__scalar_andxor_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x1.c:20:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:69:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 69 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__scalar_select_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x2.c:20:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:70:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 70 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__scalar_select_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_uni_lrn.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x4.c.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_uni_lrn_kernel.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x4.c:20:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:71:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 71 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__scalar_select_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:117:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 117 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:118:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 118 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:992:40, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::spat_loop(size_t, size_t, size_t, init_t, body_t, fini_t) [with init_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; body_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; fini_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:727:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::spat_loop(size_t, size_t, size_t, init_t, body_t, fini_t) [with init_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; body_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; fini_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:982:29: note: object ‘vtmp1’ of size 8 982 | Vmm vtmp1 = Vmm(3 * base_reg + 2); | ^~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:992:40, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::spat_loop(size_t, size_t, size_t, init_t, body_t, fini_t) [with init_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; body_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; fini_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:727:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::spat_loop(size_t, size_t, size_t, init_t, body_t, fini_t) [with init_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; body_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; fini_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:982:29: note: object ‘vtmp1’ of size 8 982 | Vmm vtmp1 = Vmm(3 * base_reg + 2); | ^~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:119:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 119 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:146:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 146 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:147:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 147 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:148:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 148 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-avgpool/qu8-avgpool-9p8x-minmax-fp32-scalar-imagic-c1.c.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/matmul/brgemm_matmul.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9p8x-minmax-fp32-scalar-imagic-c1.c:26:47: warning: argument 11 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9p8x-minmax-fp32-scalar-imagic-c1.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:112:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 112 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:115:1: note: in expansion of macro ‘DECLARE_QU8_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 115 | DECLARE_QU8_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_avgpool_minmax_fp32_ukernel_9p8x__scalar_imagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::backward_sh_channels_nspc_compute(int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:1469:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::backward_sh_channels_nspc_compute(int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:1453:27: note: object ‘vdiff_dst’ of size 8 1453 | const Vmm vdiff_dst = vdiff_beta; | ^~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::backward_sh_channels_nspc_compute(int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:1469:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::backward_sh_channels_nspc_compute(int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:1452:27: note: object ‘vsrc’ of size 8 1452 | const Vmm vsrc = vdiff_gamma; | ^~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-avgpool/qu8-avgpool-9x-minmax-fp32-scalar-imagic-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9x-minmax-fp32-scalar-imagic-c1.c:25:47: warning: argument 10 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9x-minmax-fp32-scalar-imagic-c1.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:130:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 130 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:133:1: note: in expansion of macro ‘DECLARE_QU8_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 133 | DECLARE_QU8_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_avgpool_minmax_fp32_ukernel_9x__scalar_imagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp:21: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::xorps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1402:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vxorps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1292:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_resampling_kernel_t::preserve_zero_padding(int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp:315:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_resampling_kernel_t::preserve_zero_padding(int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp:312:19: note: object ‘vmm_zeros’ of size 8 312 | const Vmm vmm_zeros(vmm_tmp_.getIdx()); | ^~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::sqrtps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:846:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vsqrtps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1190:19, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::backward_diff_channels_nspc_compute(int)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:1639:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:1636:27: note: object ‘vsqrtvar_ch’ of size 8 1636 | const Vmm vsqrtvar_ch = Vmm(idx); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:582:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 582 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::xorps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1402:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vxorps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1292:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_resampling_kernel_t::preserve_zero_padding(int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp:315:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_resampling_kernel_t::preserve_zero_padding(int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp:312:19: note: object ‘vmm_zeros’ of size 8 312 | const Vmm vmm_zeros(vmm_tmp_.getIdx()); | ^~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:586:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 586 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p1c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:590:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 590 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p1c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-rndnu-scalar.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_f32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:578:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 578 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_rndnu_ukernel_9p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:583:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 583 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p2c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-imagic.c.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/matmul/brgemm_matmul_copy_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:587:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 587 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:591:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 591 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-rndnu-scalar.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_file.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:584:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 584 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p4c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:579:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 579 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_rndnu_ukernel_9p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_generator.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-imagic.c.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:588:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 588 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p4c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:592:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 592 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p4c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_pool_kernel.cpp:21: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_pool_kernel::avg_step(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_pool_kernel.cpp:696:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_pool_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_pool_kernel::avg_step(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_pool_kernel.cpp:685:28: note: object ‘accvr’ of size 8 685 | const auto accvr = vreg(reg_ind(0, bci, jj, ur_bc, ur_w)); | ^~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_map_field.cc.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_message.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-rndnu-scalar.c.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_message_field.cc.o In file included from /usr/include/c++/12/algorithm:61, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory_desc_wrapper.hpp:26, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory.hpp:26, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:18: In function ‘void std::__final_insertion_sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’, inlined from ‘void std::__sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’ at /usr/include/c++/12/bits/stl_algo.h:1940:31, inlined from ‘void std::sort(_RAIter, _RAIter, _Compare) [with _RAIter = int*; _Compare = dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)::]’ at /usr/include/c++/12/bits/stl_algo.h:4853:18, inlined from ‘bool dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:715:14, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:752:35: /usr/include/c++/12/bits/stl_algo.h:1849:32: warning: array subscript 16 is outside array bounds of ‘int [12]’ [-Warray-bounds] 1849 | std::__insertion_sort(__first, __first + int(_S_threshold), __comp); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp: In function ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:685:9: note: at offset 64 into object ‘perm’ of size 48 685 | int perm[DNNL_MAX_NDIMS] = {0}; | ^~~~ [ 31%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/common/cuda_buffer.cc.o [ 31%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/init.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:580:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 580 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_rndnu_ukernel_9p4c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/convolution-inference.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_softmax.cpp:29: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::maxps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:530:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmaxps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1337:18, inlined from ‘dnnl::impl::cpu::x64::jit_softmax_t::accumulate_vmax()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_softmax.cpp:747:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_softmax_base_t::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_softmax.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_softmax.cpp:731:21: note: object ‘vreg_tmp_src’ of size 8 731 | Vmm vreg_tmp_src = Vmm(i + 1); | ^~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-inference.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h: In function ‘read_timer’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h:22:13: warning: unused variable ‘result’ [-Wunused-variable] 22 | int result = clock_gettime(CLOCK_MONOTONIC, &ts); | ^~~~~~ [ 31%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_xth/channel_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-inference.c: In function ‘compute_kernel_packing’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-inference.c:269:22: warning: unused variable ‘reduction_block_start’ [-Wunused-variable] 269 | const size_t reduction_block_start = context->reduction_block_start; | ^~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:638:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 638 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_oneof.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:642:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 642 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p1c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘std::unordered_set > google::protobuf::compiler::objectivec::{anonymous}::MakeWordsMap(const char* const*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:89:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 89 | for (int i = 0; i < num_words; i++) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘std::string google::protobuf::compiler::objectivec::{anonymous}::UnderscoresToCamelCase(const std::string&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:114:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 114 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:155:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | for (int j = 0; j < value.length(); j++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_generator.cc: In member function ‘virtual bool google::protobuf::compiler::objectivec::ObjectiveCGenerator::GenerateAll(const std::vector&, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_generator.cc:76:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 76 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘std::string google::protobuf::compiler::objectivec::UnCamelCaseEnumShortName(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:523:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 523 | for (int i = 0; i < name.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_generator.cc:151:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 151 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘std::string google::protobuf::compiler::objectivec::UnCamelCaseFieldName(const std::string&, const google::protobuf::FieldDescriptor*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:613:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 613 | for (int i = 0; i < worker.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘std::string google::protobuf::compiler::objectivec::BuildCommentsString(const google::protobuf::SourceLocation&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:970:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 970 | for (int i = 0; i < lines.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘void google::protobuf::compiler::objectivec::RemoveComment(google::protobuf::StringPiece*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1037:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1037 | if (offset != StringPiece::npos) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In member function ‘virtual bool google::protobuf::compiler::objectivec::{anonymous}::ExpectedPrefixesCollector::ConsumeLine(const google::protobuf::StringPiece&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1058:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1058 | if (offset == StringPiece::npos) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:646:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 646 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p1c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘bool google::protobuf::compiler::objectivec::ValidateObjCClassPrefixes(const std::vector&, const Options&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1222:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1222 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In static member function ‘static std::string google::protobuf::compiler::objectivec::TextFormatDecodeData::DecodeDataForString(const std::string&, const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1428:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1428 | for (int y = 0; y < desired_output.size(); y++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1435:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1435 | if (x >= input_for_decode.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1447:9: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1447 | if (x != input_for_decode.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In member function ‘virtual bool google::protobuf::compiler::objectivec::ImportWriter::ProtoFrameworkCollector::ConsumeLine(const google::protobuf::StringPiece&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1726:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1726 | if (offset == StringPiece::npos) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1739:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1739 | if (offset == StringPiece::npos) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1756:32: warning: comparison of integer expressions of different signedness: ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1756 | if (proto_file.find(' ') != StringPiece::npos) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda_buffer.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:639:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 639 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p2c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/fully-connected-inference.c.o [ 31%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/pooling-output.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/pooling-output.c: In function ‘compute_max_pooling_forward_2x2_2x2__avx2’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/pooling-output.c:94:30: warning: unused variable ‘output_row_count’ [-Wunused-variable] 94 | const size_t output_row_count = min(output_tile.height, output_height - y); | ^~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-imagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:643:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 643 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/relu-output.c.o [ 31%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/softmax-output.c.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/matmul/brgemm_matmul_utils.cpp.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_prelu_backward.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_message.cc: In member function ‘void google::protobuf::compiler::objectivec::MessageGenerator::GenerateSource(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_message.cc:559:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 559 | for (int i = 0; i < text_format_data_str.size(); i += kBytesPerLine) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_message.cc:573:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 573 | for (int i = 0; i < sorted_extensions.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c.o [ 31%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/fully-connected-output.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:647:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 647 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/fully-connected-output.c:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h: In function ‘read_timer’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h:22:13: warning: unused variable ‘result’ [-Wunused-variable] 22 | int result = clock_gettime(CLOCK_MONOTONIC, &ts); | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/fully-connected-output.c: In function ‘compute_matrix_multiplication’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/fully-connected-output.c:115:22: warning: unused variable ‘simd_width’ [-Wunused-variable] 115 | const size_t simd_width = context->simd_width; | ^~~~~~~~~~ [ 31%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/relu-input-gradient.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.h:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_xth::ChannelImpl; TOp = tensorpipe::channel::cuda_xth::SendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cuda_xth::ChannelImpl; TOp = tensorpipe::channel::cuda_xth::SendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.cc:111:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_xth::ChannelImpl; TOp = tensorpipe::channel::cuda_xth::RecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cuda_xth::ChannelImpl; TOp = tensorpipe::channel::cuda_xth::RecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.cc:211:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 31%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/convolution-input-gradient.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-input-gradient.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h: In function ‘read_timer’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h:22:13: warning: unused variable ‘result’ [-Wunused-variable] 22 | int result = clock_gettime(CLOCK_MONOTONIC, &ts); | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:640:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 640 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p4c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/convolution-kernel-gradient.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-kernel-gradient.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h: In function ‘read_timer’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h:22:13: warning: unused variable ‘result’ [-Wunused-variable] 22 | int result = clock_gettime(CLOCK_MONOTONIC, &ts); | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-kernel-gradient.c: In function ‘compute_matrix_multiplication’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-kernel-gradient.c:177:22: warning: unused variable ‘output_channels’ [-Wunused-variable] 177 | const size_t output_channels = context->output_channels; | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-kernel-gradient.c:175:22: warning: unused variable ‘input_channels_block_size’ [-Wunused-variable] 175 | const size_t input_channels_block_size = context->input_channels_block_size; | ^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-kernel-gradient.c:170:22: warning: unused variable ‘batch_size’ [-Wunused-variable] 170 | const size_t batch_size = context->batch_size; | ^~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_primitive_field.cc.o [ 31%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/convolution-output.c.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/php/php_generator.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-imagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-output.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h: In function ‘read_timer’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h:22:13: warning: unused variable ‘result’ [-Wunused-variable] 22 | int result = clock_gettime(CLOCK_MONOTONIC, &ts); | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-output.c: In function ‘compute_output_transform’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-output.c:139:22: warning: unused variable ‘column_offset’ [-Wunused-variable] 139 | const size_t column_offset = context->column_offset; | ^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-output.c:137:22: warning: unused variable ‘row_offset’ [-Wunused-variable] 137 | const size_t row_offset = context->row_offset; | ^~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:644:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 644 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p4c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x1.c.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_prelu_base_kernel.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:648:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 648 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p4c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x1.c:21:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:479:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 479 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x2.c:21:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:480:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 480 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_prelu_forward.cpp.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_prelu_reduction_kernel.cpp.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/plugin.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x3.c.o [ 31%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/x86_64-fma/softmax.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x3.c:21:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:481:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 481 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__scalar_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/x86_64-fma/softmax.c:15:21: warning: argument 2 of type ‘const float[restrict static n]’ declared as a variable length array [-Wvla-parameter] 15 | const float x[restrict static n], | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/x86_64-fma/softmax.c:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/softmax.h:13:47: note: previously declared as a pointer ‘const float *’ 13 | void nnp_softmax__avx2(size_t n, const float* x, float* y); | ~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/x86_64-fma/softmax.c:16:15: warning: argument 3 of type ‘float[restrict static n]’ declared as a variable length array [-Wvla-parameter] 16 | float y[restrict static n]) | ~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/softmax.h:13:57: note: previously declared as a pointer ‘float *’ 13 | void nnp_softmax__avx2(size_t n, const float* x, float* y); | ~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/x86_64-fma/softmax.c:26:15: warning: argument 2 of type ‘float[restrict static n]’ declared as a variable length array [-Wvla-parameter] 26 | float v[restrict static n]) | ~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/softmax.h:14:49: note: previously declared as a pointer ‘float *’ 14 | void nnp_inplace_softmax__avx2(size_t n, float* v); | ~~~~~~~^ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/plugin.pb.cc.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/python/python_generator.cc.o [ 31%] Linking C static library ../../lib/libnnpack.a [ 31%] Built target nnpack [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/ruby/ruby_generator.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x4.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x4.c:21:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:482:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 482 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c1.c:24:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:248:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 248 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_fmagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_prelu_utils.cpp.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_uni_prelu_backward_kernel.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c2.c:24:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:249:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 249 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_fmagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c4.c:24:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:250:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 250 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_fmagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_uni_prelu_forward_kernel.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/injector_utils.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_postops_injector.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:24: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 16 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 16 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c1.c:24:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:244:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 244 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_imagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c2.c:24:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:245:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 245 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_imagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_xth/context_impl.cc.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/brgemm_cell_common_bwd.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘std::string google::protobuf::compiler::php::PhpName(const std::string&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:288:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 288 | for (int i = 0; i < full_name.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘std::string google::protobuf::compiler::php::GeneratedMetadataFileName(const google::protobuf::FileDescriptor*, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:365:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 365 | while (first_index != string::npos) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:376:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 376 | if (file_name_start == string::npos) { | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘std::string google::protobuf::compiler::php::GeneratedServiceFileName(const google::protobuf::ServiceDescriptor*, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:415:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 415 | for (int i = 0; i < result.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c4.c:24:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:246:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 246 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_imagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘std::string google::protobuf::compiler::php::UnderscoresToCamelCase(const std::string&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:558:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 558 | for (int i = 0; i < name.size(); i++) { | ~~^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/injector_utils.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:25: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘std::string google::protobuf::compiler::php::FilenameToClassname(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1183:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1183 | for (int i = 0; i < result.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘void google::protobuf::compiler::php::GenerateMetadataFile(const google::protobuf::FileDescriptor*, bool, bool, const std::set >&, google::protobuf::compiler::GeneratorContext*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1206:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1206 | if (lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘void google::protobuf::compiler::php::GenerateEnumFile(const google::protobuf::FileDescriptor*, const google::protobuf::EnumDescriptor*, bool, google::protobuf::compiler::GeneratorContext*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1280:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1280 | if (lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1292:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1292 | if (lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘void google::protobuf::compiler::php::GenerateMessageFile(const google::protobuf::FileDescriptor*, const google::protobuf::Descriptor*, bool, bool, google::protobuf::compiler::GeneratorContext*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1392:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1392 | if (lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1401:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1401 | if (lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘void google::protobuf::compiler::php::GenerateServiceFile(const google::protobuf::FileDescriptor*, const google::protobuf::ServiceDescriptor*, bool, google::protobuf::compiler::GeneratorContext*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1500:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1500 | lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1508:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1508 | if (lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘void google::protobuf::compiler::php::GenerateDocCommentBodyForLocation(google::protobuf::io::Printer*, const google::protobuf::SourceLocation&, bool, int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1617:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1617 | for (int i = 0; i < lines.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In member function ‘virtual bool google::protobuf::compiler::php::Generator::GenerateAll(const std::vector&, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1852:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1852 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c1.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 16 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 16 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc: In function ‘bool google::protobuf::compiler::python::{anonymous}::ContainsPythonKeyword(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc:121:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 121 | for (int i = 0; i < tokens.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c1.c:25:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:252:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 252 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_lrintf_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In instantiation of ‘std::string google::protobuf::compiler::php::GeneratedClassFileName(const DescriptorType*, bool) [with DescriptorType = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1270:48: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:391:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 391 | for (int i = 0; i < result.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In instantiation of ‘std::string google::protobuf::compiler::php::GeneratedClassFileName(const DescriptorType*, bool) [with DescriptorType = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1382:48: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:391:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc: In member function ‘virtual bool google::protobuf::compiler::python::Generator::Generate(const google::protobuf::FileDescriptor*, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc:319:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 319 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc: In member function ‘void google::protobuf::compiler::python::Generator::PrintImports() const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc:412:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 412 | if (last_dot_pos == std::string::npos) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc: In member function ‘void google::protobuf::compiler::python::Generator::PrintTopLevelEnums() const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc:508:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 508 | for (int i = 0; i < top_level_enum_values.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc: In member function ‘void google::protobuf::compiler::python::Generator::PrintMessages() const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc:839:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 839 | for (int j = 0; j < to_register.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In instantiation of ‘std::string google::protobuf::compiler::php::LegacyGeneratedClassFileName(const DescriptorType*, bool) [with DescriptorType = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1235:54: required from ‘void google::protobuf::compiler::php::LegacyGenerateClassFile(const google::protobuf::FileDescriptor*, const DescriptorType*, bool, google::protobuf::compiler::GeneratorContext*) [with DescriptorType = google::protobuf::EnumDescriptor]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1368:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:404:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 404 | for (int i = 0; i < result.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In instantiation of ‘std::string google::protobuf::compiler::php::LegacyGeneratedClassFileName(const DescriptorType*, bool) [with DescriptorType = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1235:54: required from ‘void google::protobuf::compiler::php::LegacyGenerateClassFile(const google::protobuf::FileDescriptor*, const DescriptorType*, bool, google::protobuf::compiler::GeneratorContext*) [with DescriptorType = google::protobuf::Descriptor]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1470:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:404:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c2.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c2.c:25:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:253:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 253 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_lrintf_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c:25:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:254:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 254 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_lrintf_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/ruby/ruby_generator.cc: In function ‘std::string google::protobuf::compiler::ruby::DefaultValueForField(const google::protobuf::FieldDescriptor*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/ruby/ruby_generator.cc:158:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 158 | for (int i = 0; i < default_str.length(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/ruby/ruby_generator.cc: In function ‘std::string google::protobuf::compiler::ruby::PackageToModule(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/ruby/ruby_generator.cc:325:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 325 | for (int i = 0; i < name.size(); i++) { | ~~^~~~~~~~~~~~~ [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/brgemm_cell_common_fwd.cpp.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c:23:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:299:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 299 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_fmagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c2.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c2.c:23:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:300:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 300 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_fmagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c4.c:23:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:301:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 301 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_fmagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/brgemm_cell_common_reorders.cpp.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c.o [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/subprocess.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c:23:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:295:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 295 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_imagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_xth/factory.cc.o [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/brgemm_cell_common_utils.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/context_impl.cc:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c:23:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:296:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 296 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_imagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c:23:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:297:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 297 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_imagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c1.c:24:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:303:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 303 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_lrintf_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c2.c:24:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:304:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 304 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_lrintf_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c4.c.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_basic/channel_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c4.c:24:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:305:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 305 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_lrintf_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:926:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 926 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/jit_brgemm_transpose_single_row.cpp.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-imagic.c.o [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/zip_writer.cc.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:935:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 935 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/subprocess.cc: In member function ‘bool google::protobuf::compiler::Subprocess::Communicate(const google::protobuf::Message&, google::protobuf::Message*, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/subprocess.cc:409:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 409 | if (input_pos == input_data.size()) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_f64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_f16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:944:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 944 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_u64.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-rndnu-scalar.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:917:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 917 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_1x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:927:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 927 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/zip_writer.cc: In function ‘google::protobuf::uint32 google::protobuf::compiler::ComputeCRC32(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/zip_writer.cc:94:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 94 | for (int i = 0; i < buf.size(); ++i) { | ~~^~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_prelu_utils.hpp:22, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_prelu_utils.cpp:22: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2110:10, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2107:7, inlined from ‘void Xbyak::CodeGenerator::xor_(const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1400:60, inlined from ‘void dnnl::impl::cpu::x64::prelu::apply_zero_padding(dnnl::impl::cpu::x64::jit_generator*, size_t, dnnl::impl::data_type_t, size_t, const Xbyak::Reg64&, const Xbyak::Reg64*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_prelu_utils.cpp:210:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Reg32 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h: In function ‘void dnnl::impl::cpu::x64::prelu::apply_zero_padding(dnnl::impl::cpu::x64::jit_generator*, size_t, dnnl::impl::data_type_t, size_t, const Xbyak::Reg64&, const Xbyak::Reg64*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2919:36: note: object ‘Xbyak::util::eax’ of size 8 2919 | static const XBYAK_CONSTEXPR Reg32 eax(Operand::EAX), ecx(Operand::ECX), edx(Operand::EDX), ebx(Operand::EBX), esp(Operand::ESP), ebp(Operand::EBP), esi(Operand::ESI), edi(Operand::EDI); | ^~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::mov(const Xbyak::Operand&, uint64_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2675:10, inlined from ‘void dnnl::impl::cpu::x64::prelu::apply_zero_padding(dnnl::impl::cpu::x64::jit_generator*, size_t, dnnl::impl::data_type_t, size_t, const Xbyak::Reg64&, const Xbyak::Reg64*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_prelu_utils.cpp:215:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h: In function ‘void dnnl::impl::cpu::x64::prelu::apply_zero_padding(dnnl::impl::cpu::x64::jit_generator*, size_t, dnnl::impl::data_type_t, size_t, const Xbyak::Reg64&, const Xbyak::Reg64*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2930:55: note: object ‘Xbyak::util::rcx’ of size 8 2930 | static const XBYAK_CONSTEXPR Reg64 rax(Operand::RAX), rcx(Operand::RCX), rdx(Operand::RDX), rbx(Operand::RBX), rsp(Operand::RSP), rbp(Operand::RBP), rsi(Operand::RSI), rdi(Operand::RDI), r8(Operand::R8), r9(Operand::R9), r10(Operand::R10), r11(Operand::R11), r12(Operand::R12), r13(Operand::R13), r14(Operand::R14), r15(Operand::R15); | ^~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-imagic.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-lrintf.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:22: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movaps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:543:55, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::nchw_tail_sse41(int, Xbyak::Reg64, Xbyak::Xmm, Xbyak::Xmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:1089:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::nchw_tail_sse41(int, Xbyak::Reg64, Xbyak::Xmm, Xbyak::Xmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:1087:63: note: object ‘xtail_hi’ of size 8 1087 | Xbyak::Reg64 reg_dst, Xbyak::Xmm xtail_lo, Xbyak::Xmm xtail_hi) { | ~~~~~~~~~~~^~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-rndnu-scalar.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:936:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 936 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:945:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 945 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-fmagic.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:918:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 918 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/jit_diff_weights_peephole.cpp.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:928:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 928 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/jit_gates_reduction.cpp.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/rnn_brgemm_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:937:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 937 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/shuffle/jit_uni_shuffle.cpp.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-lrintf.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:919:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 919 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_2x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:946:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 946 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/shuffle/jit_uni_shuffle_kernel.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:929:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 929 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.h:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_basic::ChannelImpl; TOp = tensorpipe::channel::cuda_basic::ChunkSendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cuda_basic::ChannelImpl; TOp = tensorpipe::channel::cuda_basic::ChunkSendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.cc:113:35: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.h:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_basic::ChannelImpl; TOp = tensorpipe::channel::cuda_basic::ChunkRecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cuda_basic::ChannelImpl; TOp = tensorpipe::channel::cuda_basic::ChunkRecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.cc:376:35: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-imagic.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:938:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 938 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:947:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 947 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:920:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 920 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:930:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 930 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-imagic.c.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_basic/context_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:939:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 939 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::uni_vfmadd132ps(const Vmm&, const Vmm&, const Xbyak::Operand&, bool) [with Vmm = Xbyak::Zmm]’, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::uni_vfmadd132ps(const Vmm&, const Vmm&, const Xbyak::Operand&, bool) [with Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:194:6, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:236:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:201:30: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Zmm [1]’ [-Warray-bounds] 201 | const Xbyak::Address addr | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:234:23: note: object ‘weights_operand’ of size 8 234 | const Vmm weights_operand | ^~~~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:948:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 948 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-rndnu-scalar.c.o [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/utils/jit_io_helper.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:921:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 921 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_3x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:931:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 931 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.hpp:24, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:18: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:588:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmovups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:477:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcmpps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1406:56, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:179:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:165:19: note: object ‘src_vmm’ of size 8 165 | const Vmm src_vmm {get_compute_vmm(src_idx, unroll_group)}; | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:588:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmovups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:477:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcmpps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1406:56, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:182:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:165:19: note: object ‘src_vmm’ of size 8 165 | const Vmm src_vmm {get_compute_vmm(src_idx, unroll_group)}; | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:588:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:816:23, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:186:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:164:19: note: object ‘dst_diff_vmm’ of size 8 164 | const Vmm dst_diff_vmm {get_compute_vmm(dst_diff_idx, unroll_group)}; | ^~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:588:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:816:23, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:187:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:170:19: note: object ‘weights_diff_vmm’ of size 8 170 | const Vmm weights_diff_vmm { | ^~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:588:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:816:23, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:194:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:168:19: note: object ‘src_gt_zero_vmm’ of size 8 168 | const Vmm src_gt_zero_vmm { | ^~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.hpp:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:18: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::maxps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:530:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmaxps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1337:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:226:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:221:19: note: object ‘src_vmm’ of size 8 221 | const Vmm src_vmm {get_compute_vmm(src_idx, unroll_group)}; | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::minps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:535:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vminps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1361:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:227:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:221:19: note: object ‘src_vmm’ of size 8 221 | const Vmm src_vmm {get_compute_vmm(src_idx, unroll_group)}; | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd132ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:881:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd132ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:890:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::uni_vfmadd132ps(const Vmm&, const Vmm&, const Xbyak::Operand&, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:190:20, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:236:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:234:23: note: object ‘weights_operand’ of size 8 234 | const Vmm weights_operand | ^~~~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:940:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 940 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:949:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 949 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:922:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 922 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_3x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:932:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 932 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_f16.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_u64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_i64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_u32.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_basic/factory.cc.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_i32.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-imagic.c.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/common/cuda_loop.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/context_impl.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/context_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_u8.o [ 33%] Linking CXX static library ../../../lib/libprotoc.a /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:941:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 941 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:950:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 950 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-rndnu-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:923:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 923 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:933:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 933 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_f32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_i8.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-imagic.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-lrintf.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:942:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 942 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:924:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 924 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:951:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 951 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_ipc/channel_impl.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_ipc/context_impl.cc.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x2-minmax-fp32-scalar-fmagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda_loop.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x2-minmax-fp32-scalar-imagic.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x2-minmax-fp32-scalar-lrintf.c.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_ipc/factory.cc.o [ 33%] Built target libprotoc Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_f64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_bf16.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/common/ibv.cc.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x2-minmax-rndnu-scalar.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-fp32-scalar-fmagic.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-fp32-scalar-imagic.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-fp32-scalar-lrintf.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-rndnu-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x2-minmax-fp32-scalar-fmagic.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x2-minmax-fp32-scalar-imagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.h:19, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.h:19, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x2-minmax-fp32-scalar-lrintf.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.h:19, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc: In function ‘std::tuple, std::allocator >, std::allocator, std::allocator > > >, std::vector >, std::allocator > > > > tensorpipe::channel::cuda_ipc::{anonymous}::getGlobalUuidsAndP2pSupport(const tensorpipe::NvmlLib&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:76:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 76 | for (int devIdx = 0; devIdx < numDevices; devIdx++) { | ~~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:78:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 78 | for (int otherDevIdx = 0; otherDevIdx < numDevices; otherDevIdx++) { | ~~~~~~~~~~~~^~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x2-minmax-rndnu-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc: In member function ‘void tensorpipe::channel::cuda_ipc::ContextImpl::allocateSlot(int, size_t, SlotAllocCallback)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:343:24: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 343 | if (outboxes_.size() <= deviceIdx) { | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc: In member function ‘void tensorpipe::channel::cuda_ipc::ChannelImpl::writeDescriptor(ChunkSendOpIter)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:263:33: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 263 | if (localOutboxesSent_.size() <= op.deviceIdx) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:257:18: warning: unused variable ‘cudaLib’ [-Wunused-variable] 257 | const CudaLib& cudaLib = context_->getCudaLib(); | ^~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_boilerplate.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/context_impl_boilerplate.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.h:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc: In member function ‘tensorpipe::channel::cuda_ipc::ContextImpl::OutboxInfo tensorpipe::channel::cuda_ipc::ContextImpl::getLocalOutboxInfo(int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:369:30: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 369 | TP_DCHECK(outboxes_.size() > deviceIdx); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:222:3: note: in expansion of macro ‘__TP_DCHECK’ 222 | __TP_DCHECK(a) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:242:22: note: in expansion of macro ‘_TP_DCHECK’ 242 | #define TP_DCHECK(a) _TP_DCHECK(a) | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:369:3: note: in expansion of macro ‘TP_DCHECK’ 369 | TP_DCHECK(outboxes_.size() > deviceIdx); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:369:30: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 369 | TP_DCHECK(outboxes_.size() > deviceIdx); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:196:59: note: in definition of macro ‘__TP_EXPAND_OPD’ 196 | #define __TP_EXPAND_OPD(opd) TP_STRINGIFY(opd) << "(" << (opd) << ")" | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:222:3: note: in expansion of macro ‘__TP_DCHECK’ 222 | __TP_DCHECK(a) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:242:22: note: in expansion of macro ‘_TP_DCHECK’ 242 | #define TP_DCHECK(a) _TP_DCHECK(a) | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:369:3: note: in expansion of macro ‘TP_DCHECK’ 369 | TP_DCHECK(outboxes_.size() > deviceIdx); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:417:53: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 417 | if (impl.remoteOutboxesReceived_.size() <= | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ 418 | opIter->remoteDeviceIdx) { | ~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc: In member function ‘void tensorpipe::channel::cuda_ipc::ChannelImpl::copyFromStagingToTarget(ChunkRecvOpIter)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:434:36: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 434 | if (remoteOutboxesOpened_.size() <= op.remoteDeviceIdx) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:437:56: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 437 | if (remoteOutboxesOpened_[op.remoteDeviceIdx].size() <= op.deviceIdx) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_gdr/channel_impl.cc.o [ 33%] Building CXX object third_party/protobuf/cmake/CMakeFiles/protoc.dir/__/src/google/protobuf/compiler/main.cc.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4-minmax-fp32-scalar-lrintf.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.h:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_ipc::ChannelImpl; TOp = tensorpipe::channel::cuda_ipc::ChunkSendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cuda_ipc::ChannelImpl; TOp = tensorpipe::channel::cuda_ipc::ChunkSendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:134:35: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.h:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_ipc::ChannelImpl; TOp = tensorpipe::channel::cuda_ipc::ChunkRecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cuda_ipc::ChannelImpl; TOp = tensorpipe::channel::cuda_ipc::ChunkRecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:346:35: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4-minmax-rndnu-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x2-minmax-fp32-scalar-fmagic.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x2-minmax-fp32-scalar-imagic.c.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_gdr/context_impl.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:17: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: at offset 8 into object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: at offset 16 into object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 16 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: at offset 8 into object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: at offset 8 into object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: at offset 16 into object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 16 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: at offset 8 into object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2256:101, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: at offset 8 into object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 16 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: at offset 16 into object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: at offset 8 into object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: at offset 8 into object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 16 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: at offset 16 into object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: at offset 8 into object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2256:101, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x2-minmax-fp32-scalar-lrintf.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x2-minmax-rndnu-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4-minmax-fp32-scalar-fmagic.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4-minmax-fp32-scalar-imagic.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4-minmax-fp32-scalar-lrintf.c.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_gdr/factory.cc.o [ 33%] Linking CXX executable ../../../bin/protoc Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u8.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i8.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4-minmax-rndnu-scalar.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x2-minmax-fp32-scalar-fmagic.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x2-minmax-fp32-scalar-imagic.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x2-minmax-fp32-scalar-lrintf.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x2-minmax-rndnu-scalar.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-fmagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.h:24, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-imagic.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-lrintf.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-rndnu-scalar.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-fp32-scalar-fmagic.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-fp32-scalar-lrintf.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.h:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_gdr::ChannelImpl; TOp = tensorpipe::channel::cuda_gdr::SendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:74:20: required from ‘void tensorpipe::OpsStateMachine::advanceAllOperations() [with TSubject = tensorpipe::channel::cuda_gdr::ChannelImpl; TOp = tensorpipe::channel::cuda_gdr::SendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.cc:188:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.h:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_gdr::ChannelImpl; TOp = tensorpipe::channel::cuda_gdr::RecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:74:20: required from ‘void tensorpipe::OpsStateMachine::advanceAllOperations() [with TSubject = tensorpipe::channel::cuda_gdr::ChannelImpl; TOp = tensorpipe::channel::cuda_gdr::RecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.cc:189:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-gemmlowp-scalar.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-rndna-scalar-signed64.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f16.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc: In function ‘std::vector > tensorpipe::channel::cuda_gdr::{anonymous}::matchGpusToIbvNics(tensorpipe::IbvLib&, tensorpipe::IbvDeviceList&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc:177:40: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 177 | for (size_t deviceIdx = 0; deviceIdx < deviceList.size(); deviceIdx++) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-rndna-scalar-unsigned32.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_boilerplate.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/context_impl_boilerplate.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.h:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc: In constructor ‘tensorpipe::channel::cuda_gdr::ContextImpl::ContextImpl(std::unordered_map >, tensorpipe::CudaLib, tensorpipe::IbvLib, tensorpipe::IbvDeviceList, tensorpipe::optional > >)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc:536:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 536 | TP_THROW_ASSERT_IF(numGpus != gpuIdxToNicName->size()) | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc:536:5: note: in expansion of macro ‘TP_THROW_ASSERT_IF’ 536 | TP_THROW_ASSERT_IF(numGpus != gpuIdxToNicName->size()) | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc:546:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 546 | for (int gpuIdx = 0; gpuIdx < actualGpuIdxToNicName.size(); gpuIdx++) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc:560:40: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 560 | for (size_t deviceIdx = 0; deviceIdx < deviceList.size(); deviceIdx++) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-rndna-scalar-unsigned64.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x1.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:64:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 64 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:65:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 65 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:66:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 66 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x1.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_u8.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_i8.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_bf16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:102:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 102 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f64.o [ 34%] Built target protoc [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x2.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f32.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x4.c.o [ 34%] Running C++/Python protocol buffer compiler on /builddir/build/BUILD/pytorch-v2.0.1/caffe2/proto/torch.proto /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:103:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 103 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:104:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 104 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-scalar-x1.c.o [ 34%] Running C++/Python protocol buffer compiler on /builddir/build/BUILD/pytorch-v2.0.1/caffe2/proto/caffe2.proto /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-scalar-x1.c:20:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:432:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 432 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-scalar-x2.c:20:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:433:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 433 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-scalar-x4.c.o [ 34%] Building CXX object caffe2/proto/CMakeFiles/Caffe2_PROTO.dir/torch.pb.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-scalar-x4.c:20:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:434:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 434 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x1.c:20:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:120:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 120 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__scalar_andxor_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x2.c:20:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:121:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 121 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__scalar_andxor_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x4.c:20:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:122:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 122 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__scalar_andxor_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x1.c:20:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:124:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 124 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__scalar_select_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x2.c:20:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:125:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 125 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__scalar_select_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x4.c:20:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:126:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 126 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__scalar_select_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/shuffle/jit_uni_shuffle_kernel.cpp:22: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:588:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmovups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:477:19, inlined from ‘dnnl::impl::cpu::x64::jit_uni_shuffle_kernel_t::shuffle_blocked_format()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/shuffle/jit_uni_shuffle_kernel.cpp:314:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_shuffle_kernel_t::shuffle_blocked_format() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/shuffle/jit_uni_shuffle_kernel.cpp:392:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_uni_shuffle_kernel_t::Vmm [4]’ {aka ‘const Xbyak::Xmm [4]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/shuffle/jit_uni_shuffle_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_shuffle_kernel_t::shuffle_blocked_format() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/shuffle/jit_uni_shuffle_kernel.cpp:297:15: note: object ‘vmm_tmp’ of size 32 297 | const Vmm vmm_tmp[4] = {Vmm(5), Vmm(6), Vmm(7), Vmm(8)}; | ^~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x1.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_i32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:51:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 51 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:52:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 52 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x4.c.o [ 34%] Running gen_proto.py on onnx/onnx.in.proto /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:53:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 53 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x1.c.o Processing /builddir/build/BUILD/pytorch-v2.0.1/third_party/onnx/onnx/onnx.in.proto Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_onnx_torch-ml.proto Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_onnx_torch-ml.proto3 Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-ml.pb.h generating /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_pb.py /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:80:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 80 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Running C++ protocol buffer compiler on /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_onnx_torch-ml.proto [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x2.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x4.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_u32.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-scalar-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:81:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 81 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:82:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 82 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-scalar-c2.c.o [ 34%] Building CXX object caffe2/proto/CMakeFiles/Caffe2_PROTO.dir/caffe2.pb.cc.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_f16.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_u64.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-scalar-c4.c.o [ 34%] Built target gen_onnx_proto [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-maxpool/s8-maxpool-9p8x-minmax-scalar-c1.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_f64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_f32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-scalar-c1.c:21:38: warning: argument 9 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-scalar-c1.c:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:86:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 86 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:91:1: note: in expansion of macro ‘DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 91 | DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_s8_maxpool_minmax_ukernel_9p8x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_i64.o [ 34%] Running gen_proto.py on onnx/onnx-data.in.proto [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-vclamp/s8-vclamp-scalar-x4.c.o [ 34%] Built target dnnl_cpu_x64 [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-rmaxabs/gen/s16-rmaxabs-scalar-x1.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-rmaxabs/gen/s16-rmaxabs-scalar-x2.c.o [ 34%] Running gen_proto.py on onnx/onnx-operators.in.proto /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-vclamp/s8-vclamp-scalar-x4.c:16:38: warning: argument 4 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 16 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-vclamp/s8-vclamp-scalar-x4.c:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1129:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 1129 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1132:1: note: in expansion of macro ‘DECLARE_S8_VCLAMP_UKERNEL_FUNCTION’ 1132 | DECLARE_S8_VCLAMP_UKERNEL_FUNCTION(xnn_s8_vclamp_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Processing /builddir/build/BUILD/pytorch-v2.0.1/third_party/onnx/onnx/onnx-data.in.proto Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-data_onnx_torch.proto Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-data_onnx_torch.proto3 Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-data.pb.h generating /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_data_pb.py [ 34%] Running C++ protocol buffer compiler on /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-data_onnx_torch.proto [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-rmaxabs/gen/s16-rmaxabs-scalar-x3.c.o Processing /builddir/build/BUILD/pytorch-v2.0.1/third_party/onnx/onnx/onnx-operators.in.proto Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-operators_onnx_torch-ml.proto Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-operators_onnx_torch-ml.proto3 Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-operators-ml.pb.h generating /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_operators_pb.py [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-rmaxabs/gen/s16-rmaxabs-scalar-x4.c.o [ 34%] Running C++ protocol buffer compiler on /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-operators_onnx_torch-ml.proto [ 34%] Built target gen_onnx_data_proto [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-window/gen/s16-window-scalar-x1.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-window/gen/s16-window-scalar-x2.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_i32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_u8.o [ 34%] Built target gen_onnx_operators_proto [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-window/gen/s16-window-scalar-x3.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-window/gen/s16-window-scalar-x4.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-scalar-c1.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_u32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_i8.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-scalar-c2.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_bf16.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_bf16.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-scalar-c4.c.o [ 34%] Building CXX object third_party/onnx/CMakeFiles/onnx_proto.dir/onnx/onnx_onnx_torch-ml.pb.cc.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-lut32norm/u8-lut32norm-scalar.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-maxpool/u8-maxpool-9p8x-minmax-scalar-c1.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-rmax/u8-rmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-scalar-c1.c:21:38: warning: argument 9 of type ‘const union xnn_u8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_u8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-scalar-c1.c:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:68:41: note: previously declared as ‘const union xnn_u8_minmax_params *’ 68 | const union xnn_u8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:71:1: note: in expansion of macro ‘DECLARE_U8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 71 | DECLARE_U8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_u8_maxpool_minmax_ukernel_9p8x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-vclamp/u8-vclamp-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-vclamp/u8-vclamp-scalar-x4.c:16:38: warning: argument 4 of type ‘const union xnn_u8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 16 | const union xnn_u8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-vclamp/u8-vclamp-scalar-x4.c:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1143:41: note: previously declared as ‘const union xnn_u8_minmax_params *’ 1143 | const union xnn_u8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1146:1: note: in expansion of macro ‘DECLARE_U8_VCLAMP_UKERNEL_FUNCTION’ 1146 | DECLARE_U8_VCLAMP_UKERNEL_FUNCTION(xnn_u8_vclamp_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u32-filterbank-accumulate/gen/u32-filterbank-accumulate-scalar-x1.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u32-filterbank-subtract/u32-filterbank-subtract-scalar-x2.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u32-vlog/gen/u32-vlog-scalar-x1.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u32-vlog/gen/u32-vlog-scalar-x2.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u32-vlog/gen/u32-vlog-scalar-x3.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u32-vlog/gen/u32-vlog-scalar-x4.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u64-u32-vsqrtshift/u64-u32-vsqrtshift-scalar-cvtu32-sqrt-cvtu32f64-x1.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-scalar-x1.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_f16.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_u64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x1.c:20:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 20 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:28:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 28 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x2.c:20:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 20 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:29:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 29 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x4.c:20:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 20 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:30:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 30 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x8.c:20:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 20 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x8.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:31:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 31 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-scalar-x16.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-1x2-scalar-int.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x16.c:20:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 20 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x16.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:32:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 32 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__scalar_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_f64.o Compiling all_reduce.cu > 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Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_u8.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x24-transposec/gen/x24-transposec-4x2-scalar.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x24-transposec/gen/x24-transposec-4x4-scalar.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-packx/x32-packx-x2-scalar.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-packx/x32-packx-x3-scalar.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-packx/x32-packx-x4-scalar.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-1x2-scalar-float.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-1x2-scalar-int.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-1x4-scalar-float.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-1x4-scalar-int.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-2x1-scalar-float.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-2x1-scalar-int.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-2x2-scalar-float.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_u32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_i32.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-2x2-scalar-int.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-2x4-scalar-float.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_u64.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-2x4-scalar-int.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_i64.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x1-scalar-float.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x1-scalar-int.c.o [ 35%] Building C object 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confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-xm-scalar.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-1x2-scalar-float.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-1x2-scalar-int.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x1-scalar-float.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x1-scalar-int.c.o [ 35%] Linking CXX static library ../../../lib/libtensorpipe_cuda.a Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_f32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_f16.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-scalar-float.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_f64.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-scalar-int.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x1-scalar-float.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x1-scalar-int.c.o [ 35%] Built target tensorpipe_cuda Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_bf16.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x2-scalar-float.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x2-scalar-int.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/xx-copy/xx-copy-scalar-memcpy.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/xx-fill/xx-fill-scalar-x16.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/xx-pad/xx-pad-scalar.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/xx-transpose/xx-transpose-1x1-scalar-memcpy.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-avgpool/f32-avgpool-9p8x-minmax-sse-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9p8x-minmax-sse-c4.c:24:44: warning: argument 11 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9p8x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:69:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 69 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:73:1: note: in expansion of macro ‘DECLARE_F32_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 73 | DECLARE_F32_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_avgpool_minmax_ukernel_9p8x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-avgpool/f32-avgpool-9x-minmax-sse-c4.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-sse-1x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9x-minmax-sse-c4.c:23:44: warning: argument 10 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:90:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 90 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:94:1: note: in expansion of macro ‘DECLARE_F32_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 94 | DECLARE_F32_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_avgpool_minmax_ukernel_9x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-sse-1x1.c:27:39: warning: argument 13 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-sse-1x1.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:73:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 73 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:78:1: note: in expansion of macro ‘DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION’ 78 | DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION(xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__sse_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-sse-2x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-sse-2x2.c:27:39: warning: argument 13 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-sse-2x2.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:73:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 73 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:79:1: note: in expansion of macro ‘DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION’ 79 | DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION(xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__sse_2x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1156:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1156 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_1x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1157:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1157 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_1x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1158:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1158 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_1x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1155:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1155 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_1x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-2x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-2x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-2x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1160:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1160 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Built target Caffe2_PROTO [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-2x4.c.o [ 36%] Built target dnnl_cpu [ 36%] Linking CXX static library ../lib/libcaffe2_protos.a /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-2x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-2x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1159:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1159 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_2x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Linking CXX static library ../../../../../../lib/libdnnl.a [ 36%] Built target caffe2_protos Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_u8.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_i8.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-3x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-3x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-3x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1161:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1161 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_3x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-4x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-4x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-4x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1162:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1162 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_4x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-5x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-5x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-5x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1163:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1163 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_5x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-6x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-6x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-6x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1164:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1164 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_6x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1243:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1243 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_1x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1244:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1244 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_1x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc4.c.o [ 36%] Linking CXX static library ../../lib/libonnx_proto.a /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1245:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1245 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_1x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Built target onnx_proto [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1242:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1242 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_1x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1247:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1247 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/__/__/caffe2/onnx/torch_ops/defs.cc.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1246:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1246 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_2x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-3x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-3x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-3x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1248:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1248 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_3x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-4x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-4x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-4x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1249:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1249 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_4x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_i8.o [ 36%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/__/__/caffe2/onnx/torch_ops/schema.cc.o [ 37%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/checker.cc.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1320:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1320 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_1x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1321:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1321 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_1x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1322:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1322 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_1x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc5.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc5.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1323:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1323 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_1x4_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1319:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1319 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_1x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1325:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1325 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1326:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1326 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_2x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1324:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1324 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_2x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-3x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-3x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-3x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1328:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1328 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_3x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/common/assertions.cc.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-3x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-3x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-3x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1327:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1327 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_3x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/common/interned_strings.cc.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1330:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1330 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_4x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/common/ir_pb_converter.cc.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1329:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1329 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_4x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-5x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-5x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-5x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1331:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1331 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_5x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1416:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1416 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_1x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1417:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1417 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_1x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1418:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1418 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_1x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc5.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc5.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1419:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1419 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_1x4_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1415:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1415 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_1x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_i32.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1421:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1421 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1422:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1422 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_2x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1420:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1420 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_2x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1424:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1424 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_3x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1423:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1423 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_3x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:162:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 162 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p4c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:161:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 161 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p4c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:172:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 172 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:171:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 171 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p4c-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p4c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p4c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:191:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 191 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p4c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p4c-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p4c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p4c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:190:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 190 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p4c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:201:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 201 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:200:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 200 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c4s4r-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c4s4r-minmax-sse-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c4s4r-minmax-sse-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:79:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 79 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_5f5m5l8c4s4r__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c4s4r-minmax-sse.c.o [ 37%] Built target fbgemm_generic /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c4s4r-minmax-sse.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c4s4r-minmax-sse.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:78:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 78 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_5f5m5l8c4s4r__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c4s4r-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c4s4r-minmax-sse-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c4s4r-minmax-sse-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:81:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 81 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_7f6m6l8c4s4r__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c4s4r-minmax-sse.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c4s4r-minmax-sse.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c4s4r-minmax-sse.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:80:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 80 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_7f6m6l8c4s4r__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p4c-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p4c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p4c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:222:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 222 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p4c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p4c-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p4c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p4c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:221:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 221 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p4c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:232:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 232 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:231:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 231 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p4c-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p4c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p4c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:251:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 251 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p4c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p4c-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p4c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p4c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:250:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 250 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p4c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_u32.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:261:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 261 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:260:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 260 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gavgpool-cw/f32-gavgpool-cw-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool-cw/f32-gavgpool-cw-sse-x4.c:19:41: warning: argument 5 of type ‘const union xnn_f32_gavgpool_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 19 | const union xnn_f32_gavgpool_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool-cw/f32-gavgpool-cw-sse-x4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:314:44: note: previously declared as ‘const union xnn_f32_gavgpool_params *’ 314 | const union xnn_f32_gavgpool_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:318:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_CW_UKERNEL_FUNCTION’ 318 | DECLARE_F32_GAVGPOOL_CW_UKERNEL_FUNCTION(xnn_f32_gavgpool_cw_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-sse-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-sse-c4.c:22:44: warning: argument 8 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:31:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 31 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:35:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 35 | DECLARE_F32_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_gavgpool_minmax_ukernel_7p7x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gavgpool/f32-gavgpool-7x-minmax-sse-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7x-minmax-sse-c4.c:20:44: warning: argument 7 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:49:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 49 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:53:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 53 | DECLARE_F32_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_gavgpool_minmax_ukernel_7x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:234:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 234 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse-load1.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse-load1.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:229:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 229 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8s4-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:239:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 239 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/common/model_helpers.cc.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:235:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 235 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse-load1.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:230:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 230 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x8s4-minmax-sse.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_u64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8s4-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:240:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 240 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x2c4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2c4-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2c4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:244:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 244 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x2c4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:236:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 236 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-load1.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:231:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 231 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8s4-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:241:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 241 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:237:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 237 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-load1.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:232:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 232 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8s4-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:242:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 242 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:542:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 542 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse-load1.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:537:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 537 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8s4-minmax-sse.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:552:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 552 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse-dup.c.o [ 38%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/common/path.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:543:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 543 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse-load1.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:538:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 538 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8s4-minmax-sse.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:553:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 553 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse-dup.c.o [ 38%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/common/status.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:544:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 544 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse-load1.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:539:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 539 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8s4-minmax-sse.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:554:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 554 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:545:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 545 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse-load1.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:540:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 540 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/attr_proto_util.cc.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8s4-minmax-sse.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:555:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 555 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-sse-p4.c.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-sse-p8.c.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-sse-c4.c.o [ 38%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/controlflow/defs.cc.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-sse-c8.c.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:148:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 148 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse-load1.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:143:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 143 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8s4-minmax-sse.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:153:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 153 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:149:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 149 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Built target dnnl [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse-load1.c.o [ 38%] Linking CXX static library ../../../../lib/libdnnl_graph.a /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse-load1.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:144:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 144 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8s4-minmax-sse.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:154:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 154 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x2c4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2c4-minmax-sse.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2c4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:158:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 158 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x2c4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:150:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 150 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse-load1.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:145:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 145 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8s4-minmax-sse.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:155:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 155 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:151:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 151 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-load1.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:146:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 146 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8s4-minmax-sse.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:156:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 156 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-maxpool/f32-maxpool-9p8x-minmax-sse-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-maxpool/f32-maxpool-9p8x-minmax-sse-c4.c:22:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-maxpool/f32-maxpool-9p8x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:48:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 48 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:52:1: note: in expansion of macro ‘DECLARE_F32_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 52 | DECLARE_F32_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_f32_maxpool_minmax_ukernel_9p8x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-pavgpool/f32-pavgpool-9p8x-minmax-sse-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9p8x-minmax-sse-c4.c:25:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9p8x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:69:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 69 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:73:1: note: in expansion of macro ‘DECLARE_F32_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 73 | DECLARE_F32_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_pavgpool_minmax_ukernel_9p8x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-pavgpool/f32-pavgpool-9x-minmax-sse-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9x-minmax-sse-c4.c:24:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:91:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 91 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:95:1: note: in expansion of macro ‘DECLARE_F32_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 95 | DECLARE_F32_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_pavgpool_minmax_ukernel_9x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ppmm/gen/f32-ppmm-4x8-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-4x8-minmax-sse.c:26:37: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-4x8-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:29:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:37:1: note: in expansion of macro ‘DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION’ 37 | DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_ppmm_minmax_ukernel_4x8__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse-2x4.c.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse-2x8.c.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-rmax/f32-rmax-sse.c.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-4x1-minmax-sse.c.o [ 38%] Built target dnnl_graph [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x1-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x1-minmax-sse.c:26:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x1-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:64:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 64 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_8x1__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-4x1-minmax-sse.c:26:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-4x1-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:43:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 43 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_4x1__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-16x1-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-16x1-minmax-sse.c:26:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-16x1-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:89:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 89 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_16x1__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-32x1-minmax-sse.c.o [ 38%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/controlflow/old.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-32x1-minmax-sse.c:26:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-32x1-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:108:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 108 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_32x1__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:338:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 338 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:339:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 339 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:540:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 540 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:541:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 541 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:361:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 361 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:362:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 362 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:563:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 563 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:564:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 564 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-sse-x4.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:196:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 196 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-sse-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:197:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 197 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-sse-x4.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:478:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 478 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-sse-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:479:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 479 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-sse-x4.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:219:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 219 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-sse-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:220:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 220 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-sse-x4.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:501:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 501 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-sse-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:502:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 502 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:384:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 384 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:385:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 385 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:609:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 609 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:610:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 610 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:586:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 586 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:587:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 587 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:655:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 655 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:656:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 656 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-sse-x4.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:242:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 242 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-sse-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:243:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 243 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-sse-x4.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:524:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 524 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-sse-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:525:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 525 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:407:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 407 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:408:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 408 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:632:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 632 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:633:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 633 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-sse-x4.c:22:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-sse-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:251:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 251 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-sse-x8.c:22:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-sse-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:252:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 252 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-sse-x4.c:22:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-sse-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:504:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 504 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-sse-x8.c:22:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-sse-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:505:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 505 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse-x4.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:554:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 554 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse-x8.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:555:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 555 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vmulcaddc/gen/f32-vmulcaddc-c4-minmax-sse-2x.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c4-minmax-sse-2x.c:26:39: warning: argument 8 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c4-minmax-sse-2x.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:28:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 28 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:36:1: note: in expansion of macro ‘DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 36 | DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulcaddc_minmax_ukernel_c4__sse_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vmulcaddc/gen/f32-vmulcaddc-c8-minmax-sse-2x.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c8-minmax-sse-2x.c:26:39: warning: argument 8 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c8-minmax-sse-2x.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:28:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 28 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:37:1: note: in expansion of macro ‘DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 37 | DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulcaddc_minmax_ukernel_c8__sse_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-sse-x4.c:22:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-sse-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:635:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 635 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-sse-x8.c:22:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-sse-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:636:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 636 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-sse-sqrt-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-sse-sqrt-x4.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-sse-sqrt-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:761:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 761 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__sse_sqrt_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-sse-sqrt-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-sse-sqrt-x8.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-sse-sqrt-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:762:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 762 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__sse_sqrt_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-sse-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:218:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 218 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-sse-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:219:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 219 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-sse-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:601:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 601 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-sse-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:602:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 602 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-sse-x4.c:23:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1107:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1107 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-sse-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1108:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1108 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundd-sse-addsub.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundne-sse-addsub.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundu-sse-addsub.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundz-sse-addsub.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-sse-hh1mac.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-sse-nr1mac.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-sse-nr2mac.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-packx/x32-packx-x4-sse.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/x32-transposec-4x4-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/x32-transposec-4x4-sse.c:21:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/x32-transposec-4x4-sse.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:128:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 128 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x8.c.o [ 39%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/data_type_utils.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:39:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 39 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int16_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:40:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 40 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int16_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:41:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 41 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int16_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:42:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 42 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int16_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:44:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 44 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:45:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 45 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:46:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 46 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:47:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 47 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vabs-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vabs-sse2-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f16_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vabs-sse2-x8.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:24:39: note: previously declared as ‘const union xnn_f16_abs_params *’ 24 | const union xnn_f16_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:29:1: note: in expansion of macro ‘DECLARE_F16_VABS_UKERNEL_FUNCTION’ 29 | DECLARE_F16_VABS_UKERNEL_FUNCTION(xnn_f16_vabs_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vabs-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vabs-sse2-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f16_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vabs-sse2-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:24:39: note: previously declared as ‘const union xnn_f16_abs_params *’ 24 | const union xnn_f16_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:30:1: note: in expansion of macro ‘DECLARE_F16_VABS_UKERNEL_FUNCTION’ 30 | DECLARE_F16_VABS_UKERNEL_FUNCTION(xnn_f16_vabs_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vneg-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vneg-sse2-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f16_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vneg-sse2-x8.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:80:39: note: previously declared as ‘const union xnn_f16_neg_params *’ 80 | const union xnn_f16_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:86:1: note: in expansion of macro ‘DECLARE_F16_VNEG_UKERNEL_FUNCTION’ 86 | DECLARE_F16_VNEG_UKERNEL_FUNCTION(xnn_f16_vneg_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vneg-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vneg-sse2-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f16_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vneg-sse2-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:80:39: note: previously declared as ‘const union xnn_f16_neg_params *’ 80 | const union xnn_f16_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:87:1: note: in expansion of macro ‘DECLARE_F16_VNEG_UKERNEL_FUNCTION’ 87 | DECLARE_F16_VNEG_UKERNEL_FUNCTION(xnn_f16_vneg_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-argmaxpool/f32-argmaxpool-4x-sse2-c4.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-argmaxpool/f32-argmaxpool-9p8x-sse2-c4.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-argmaxpool/f32-argmaxpool-9x-sse2-c4.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:116:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 116 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:117:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 117 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:118:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 118 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:119:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 119 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse2-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:246:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 246 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse2-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:247:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 247 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse2-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:248:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 248 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/function.cc.o [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse2-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:249:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 249 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse2-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:547:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 547 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse2-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:548:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 548 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse2-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:549:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 549 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse2-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:550:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 550 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse2-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:160:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 160 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse2-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:161:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 161 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse2-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:162:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 162 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse2-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:163:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 163 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse2-2x4.c.o [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse2-2x8.c.o [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:175:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 175 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:176:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 176 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:177:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 177 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:178:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 178 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:248:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 248 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:249:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 249 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:250:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 250 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__sse2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:251:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 251 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x4.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:133:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 133 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x8-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x8-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x8-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:135:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 135 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x8_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x8.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:134:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 134 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:137:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 137 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x12_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12-acc3.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12-acc3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:138:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 138 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x12_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:136:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 136 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:140:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 140 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x16_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16-acc4.c.o [ 40%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/generator/defs.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16-acc4.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16-acc4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:141:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 141 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x16_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:139:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 139 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:143:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 143 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x20_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20-acc5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20-acc5.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20-acc5.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:144:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 144 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x20_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:142:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 142 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x4.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:297:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 297 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:298:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 298 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x12.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x12.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:299:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 299 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:300:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 300 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x20.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x20.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:301:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 301 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x24.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:302:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 302 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:304:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 304 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_p6_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:305:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 305 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_p6_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x12.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x12.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:306:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 306 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_p6_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:307:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 307 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_p6_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x20.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x20.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:308:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 308 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_p6_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:309:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 309 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_p6_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-sse2-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse2-x4.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse2-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:557:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 557 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse2_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse2-x8.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse2-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:558:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 558 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-sse2-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse2-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse2-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:721:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 721 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__sse2_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse2-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:722:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 722 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-sse2-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse2-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse2-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:667:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 667 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__sse2_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse2-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:668:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 668 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-sse2-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse2-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse2-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:703:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 703 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__sse2_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse2-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:704:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 704 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-sse2-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse2-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse2-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:685:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 685 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__sse2_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse2-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:686:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 686 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x4.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:919:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 919 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x8.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:920:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 920 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x12.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x12.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:921:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 921 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x16.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:922:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 922 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x20.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x20.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:923:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 923 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x24.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:924:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 924 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x4.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:905:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 905 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_p5_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:906:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 906 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_p5_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x12.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x12.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:907:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 907 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_p5_div_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:908:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 908 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_p5_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/generator/old.cc.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x20.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x20.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:909:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 909 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_p5_div_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:910:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 910 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_p5_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f16-f32-sse2-int16.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f16-f32-sse2-int32.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f32-f16-sse2.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-sse2-rr2-lut64-p2.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-sse2-rr2-p5.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-sse2-rr2-lut16-p3.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-sse2-rr2-p6.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expminus-f32-sse2-rr2-p5.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundd-sse2-cvt.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundne-sse2-cvt.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundu-sse2-cvt.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundz-sse2-cvt.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-sse2-rr2-lut64-p2-div.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-sse2-rr2-lut64-p2-nr1.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-sse2-rr2-lut64-p2-nr2.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-sse2-rr2-p5-div.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-sse2-rr2-p5-nr1.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-sse2-rr2-p5-nr2.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p8c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:945:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 945 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse2-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:963:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 963 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:959:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 959 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse2-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:964:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 964 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:960:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 960 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:961:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 961 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse2-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1040:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1040 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1036:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1036 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1041:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1041 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1037:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1037 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1038:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1038 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/logical/defs.cc.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1783:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1783 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1803:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1803 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1823:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1823 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1843:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1843 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1863:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1863 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1879:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1879 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1784:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1784 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1804:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1804 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1824:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1824 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1844:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1844 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1864:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1864 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1880:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1880 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1785:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1785 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1805:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1805 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1825:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1825 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1845:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1845 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1865:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1865 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1881:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1881 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1786:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1786 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1806:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1806 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1826:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1826 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1846:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1846 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1452:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1452 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1472:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1472 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1492:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1492 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1512:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1512 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1532:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1532 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1548:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1548 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1453:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1453 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1473:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1473 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1493:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1493 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c.o [ 41%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/logical/old.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1513:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1513 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1533:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1533 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1549:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1549 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1454:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1454 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1474:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1474 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1494:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1494 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1514:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1514 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1534:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1534 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1550:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1550 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1455:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1455 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1475:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1475 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1495:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1495 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1515:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1515 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse2-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:699:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 699 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:695:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 695 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse2-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:700:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 700 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:696:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 696 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:697:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 697 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:795:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 795 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:791:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 791 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/math/defs.cc.o [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:796:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 796 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:792:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 792 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:793:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 793 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:356:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 356 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:357:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 357 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:358:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 358 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:359:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 359 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c8.c:27:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:128:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 128 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c16.c:27:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:129:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 129 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c24.c:27:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:130:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 130 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c8.c:25:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:179:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 179 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c16.c:25:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:180:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 180 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c24.c:25:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:181:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 181 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse2_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1329:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1329 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1349:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1349 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1449:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1449 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1369:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1369 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1389:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1389 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1454:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1454 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2s4__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1409:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1409 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1429:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1429 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-sse2.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1459:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1459 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c8__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1330:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1330 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1350:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1350 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1450:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1450 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1370:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1370 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1390:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1390 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1455:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1455 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2s4__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1410:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1410 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1430:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1430 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-sse2.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1460:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1460 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c8__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1331:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1331 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1351:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1351 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1451:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1451 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1371:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1371 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1391:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1391 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1456:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1456 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2s4__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1411:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1411 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1431:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1431 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-sse2.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1461:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1461 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c8__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1332:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1332 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1352:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1352 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1452:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1452 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/math/old.cc.o [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1372:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1372 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1392:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1392 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1457:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1457 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2s4__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse2-ld64.c.o [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/math/utils.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1075:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1075 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1095:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1095 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1115:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1115 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1135:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1135 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1155:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1155 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse2-ld128.c.o [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/nn/defs.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1175:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1175 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1076:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1076 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1096:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1096 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1116:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1116 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1136:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1136 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1156:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1156 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse2-ld128.c.o [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/nn/old.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1176:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1176 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1077:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1077 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1097:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1097 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1117:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1117 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/object_detection/defs.cc.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1137:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1137 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1157:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1157 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1177:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1177 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1078:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1078 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse2-ld128.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_bf16.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_f64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1098:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1098 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1118:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1118 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_u8.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1138:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1138 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_i32.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-fp32-sse2.c.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-gemmlowp-sse2.c.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-sse2.c.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:123:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 123 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:124:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 124 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:125:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 125 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse2_mul16_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:126:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 126 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse2_mul16_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:178:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 178 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:179:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 179 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:180:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 180 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse2_mul16_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:181:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 181 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse2_mul16_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse2-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse2-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:310:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 310 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_u32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_f32.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse2-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:311:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 311 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse2-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse2-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:30:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 30 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse2-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:31:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 31 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:105:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 105 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:106:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 106 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:134:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 134 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/object_detection/old.cc.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:135:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 135 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-avgpool/qu8-avgpool-9p8x-minmax-fp32-sse2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9p8x-minmax-fp32-sse2-c8.c:28:47: warning: argument 11 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9p8x-minmax-fp32-sse2-c8.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:112:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 112 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:116:1: note: in expansion of macro ‘DECLARE_QU8_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 116 | DECLARE_QU8_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_avgpool_minmax_fp32_ukernel_9p8x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-avgpool/qu8-avgpool-9x-minmax-fp32-sse2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9x-minmax-fp32-sse2-c8.c:27:47: warning: argument 10 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9x-minmax-fp32-sse2-c8.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:130:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 130 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:134:1: note: in expansion of macro ‘DECLARE_QU8_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 134 | DECLARE_QU8_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_avgpool_minmax_fp32_ukernel_9x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:536:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 536 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:537:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 537 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:545:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 545 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_u64.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:546:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 546 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:449:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 449 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:450:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 450 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/optional/defs.cc.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:451:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 451 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:452:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 452 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c8.c:27:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:231:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 231 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c16.c:27:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:232:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 232 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c24.c:27:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:233:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 233 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_f16.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c8.c:25:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:282:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 282 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c16.c.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c16.c:25:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:283:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 283 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c24.c:25:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:284:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 284 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse2_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse2-ld64.c.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:752:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 752 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:772:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 772 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_f64.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_f32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:792:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 792 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:812:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 812 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:832:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 832 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:848:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 848 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/optional/old.cc.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse2-ld64.c.o [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/parser.cc.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:753:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 753 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:773:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 773 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:793:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 793 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:813:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 813 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:833:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 833 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_bf16.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse2-ld128.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:849:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 849 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:754:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 754 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:774:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 774 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:794:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 794 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:814:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 814 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:834:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 834 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_i64.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:850:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 850 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:755:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 755 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse2-ld128.c.o [ 44%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/printer.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:775:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 775 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:795:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 795 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:815:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 815 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:505:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 505 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:525:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 525 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:545:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 545 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:565:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 565 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:585:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 585 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:601:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 601 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:506:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 506 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:526:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 526 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:546:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 546 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:566:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 566 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:586:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 586 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse2-ld128.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:602:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 602 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:507:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 507 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i32.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:527:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 527 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:547:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 547 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:567:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 567 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/quantization/defs.cc.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:587:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 587 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:603:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 603 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:508:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 508 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:528:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 528 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:548:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 548 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:568:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 568 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i64.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-fp32-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-gemmlowp-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-rndna-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:36:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 36 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:37:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 37 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:74:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 74 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:75:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 75 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-sse2-x16.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f16.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse2-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse2-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:403:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 403 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse2-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:404:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 404 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse2-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse2-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:85:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 85 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse2-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:86:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 86 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:39:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 39 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:40:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 40 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:68:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 68 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:69:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 69 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-sse2-c8.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-sse2-c16.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse2-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse2-c16.c:23:38: warning: argument 9 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse2-c16.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:86:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 86 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:92:1: note: in expansion of macro ‘DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 92 | DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_s8_maxpool_minmax_ukernel_9p8x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/quantization/old.cc.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-vclamp/s8-vclamp-sse2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-vclamp/s8-vclamp-sse2-x64.c:18:38: warning: argument 4 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 18 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-vclamp/s8-vclamp-sse2-x64.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1129:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 1129 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1133:1: note: in expansion of macro ‘DECLARE_S8_VCLAMP_UKERNEL_FUNCTION’ 1133 | DECLARE_S8_VCLAMP_UKERNEL_FUNCTION(xnn_s8_vclamp_ukernel__sse2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-sse2-c8.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-sse2-c16.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-maxpool/u8-maxpool-9p8x-minmax-sse2-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-sse2-c16.c:26:38: warning: argument 9 of type ‘const union xnn_u8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_u8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-sse2-c16.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:68:41: note: previously declared as ‘const union xnn_u8_minmax_params *’ 68 | const union xnn_u8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:72:1: note: in expansion of macro ‘DECLARE_U8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 72 | DECLARE_U8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_u8_maxpool_minmax_ukernel_9p8x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-rmax/u8-rmax-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-vclamp/u8-vclamp-sse2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-vclamp/u8-vclamp-sse2-x64.c:18:38: warning: argument 4 of type ‘const union xnn_u8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 18 | const union xnn_u8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-vclamp/u8-vclamp-sse2-x64.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1143:41: note: previously declared as ‘const union xnn_u8_minmax_params *’ 1143 | const union xnn_u8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1147:1: note: in expansion of macro ‘DECLARE_U8_VCLAMP_UKERNEL_FUNCTION’ 1147 | DECLARE_U8_VCLAMP_UKERNEL_FUNCTION(xnn_u8_vclamp_ukernel__sse2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-16x16-reuse-mov-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-16x16-reuse-mov-sse2.c:27:41: warning: argument 7 of type ‘const union xnn_x8_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x8_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-16x16-reuse-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:212:44: note: previously declared as ‘const union xnn_x8_transpose_params *’ 212 | const union xnn_x8_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:230:1: note: in expansion of macro ‘DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION’ 230 | DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x8_transposec_ukernel__16x16_reuse_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-16x16-reuse-switch-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-16x16-reuse-switch-sse2.c:27:41: warning: argument 7 of type ‘const union xnn_x8_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x8_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-16x16-reuse-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:212:44: note: previously declared as ‘const union xnn_x8_transpose_params *’ 212 | const union xnn_x8_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:233:1: note: in expansion of macro ‘DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION’ 233 | DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x8_transposec_ukernel__16x16_reuse_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-x2-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-x3-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-x4-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-xm-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-8x8-multi-mov-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-multi-mov-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-multi-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:185:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 185 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__8x8_multi_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-8x8-multi-switch-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-8x8-reuse-mov-sse2.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f32.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-8x8-reuse-multi-sse2.c.o [ 44%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/reduction/defs.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-multi-switch-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-multi-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:188:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 188 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__8x8_multi_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/reduction/old.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-reuse-mov-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-reuse-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:192:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 192 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__8x8_reuse_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-8x8-reuse-switch-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-reuse-multi-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-reuse-multi-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:195:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 195 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__8x8_reuse_multi_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/x16-transposec-4x8-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-reuse-switch-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-reuse-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:198:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 198 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__8x8_reuse_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-multi-mov-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-multi-multi-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-multi-switch-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-multi-mov-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-multi-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:106:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 106 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_multi_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-reuse-mov-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-multi-multi-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-multi-multi-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:109:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 109 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_multi_multi_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-multi-switch-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-multi-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:112:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 112 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_multi_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-reuse-multi-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-reuse-mov-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-reuse-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:117:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 117 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_reuse_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-reuse-switch-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-reuse-multi-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-reuse-multi-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:120:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 120 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_reuse_multi_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_bf16.o [ 45%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/reduction/utils.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-reuse-switch-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-reuse-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:123:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 123 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_reuse_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-unpool/x32-unpool-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-x2-sse2.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_i8.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-x3-sse2.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f64.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-x4-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-xm-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-multi-mov-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-multi-mov-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-multi-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:47:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 47 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__2x2_multi_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-multi-multi-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-multi-multi-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-multi-multi-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:49:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 49 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__2x2_multi_multi_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-multi-switch-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-multi-switch-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-multi-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:51:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 51 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__2x2_multi_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-reuse-mov-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-reuse-multi-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-reuse-mov-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-reuse-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:54:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 54 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__2x2_reuse_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-reuse-multi-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-reuse-multi-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:56:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 56 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__2x2_reuse_multi_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-reuse-switch-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/xx-fill/xx-fill-sse2-x64.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/xx-pad/xx-pad-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-reuse-switch-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-reuse-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:58:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 58 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__2x2_reuse_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1166:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1166 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_1x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_i32.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_u8.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1167:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1167 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_1x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1168:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1168 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_1x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1165:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1165 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_1x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/rnn/defs.cc.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-2x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-2x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-2x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1170:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1170 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-2x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-2x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-2x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1169:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1169 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_2x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-3x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-3x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-3x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1171:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1171 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_3x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-4x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-4x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-4x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1172:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1172 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_4x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-5x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-5x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-5x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1173:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1173 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_5x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-6x4.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-ssse3-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-6x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-6x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1174:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1174 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_6x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/rnn/old.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-ssse3-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-ssse3-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1413:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1413 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__ssse3_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-ssse3-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-ssse3-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-ssse3-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1433:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1433 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__ssse3_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-ssse3.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-ssse3-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-ssse3.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-ssse3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1463:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1463 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c8__ssse3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-ssse3-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-ssse3-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1414:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1414 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__ssse3_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-ssse3-ld128.c.o [ 45%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/schema.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-ssse3-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-ssse3-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1434:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1434 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__ssse3_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-ssse3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-ssse3.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-ssse3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1464:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1464 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c8__ssse3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-ssse3-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-ssse3-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-ssse3-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1415:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1415 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__ssse3_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-ssse3-ld128.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-ssse3-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-ssse3-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1435:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1435 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__ssse3_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-ssse3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-ssse3.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-ssse3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1465:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1465 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c8__ssse3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-ssse3-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-ssse3-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-ssse3-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1159:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1159 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__ssse3_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-ssse3-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-ssse3-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-ssse3-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1179:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1179 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__ssse3_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-ssse3-ld64.c.o [ 45%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/sequence/defs.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-ssse3-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-ssse3-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1160:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1160 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__ssse3_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-ssse3-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-ssse3-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-ssse3-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1180:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1180 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__ssse3_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-ssse3-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-ssse3-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-ssse3-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1161:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1161 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__ssse3_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-ssse3-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-ssse3-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-ssse3-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1181:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1181 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__ssse3_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-gemmlowp-ssse3.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-ssse3.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-ssse3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-ssse3-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-ssse3-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:313:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 313 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__ssse3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-ssse3-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-ssse3-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-ssse3-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:314:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 314 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-ssse3-x16.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_u64.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-ssse3-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-ssse3-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-ssse3-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:33:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 33 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__ssse3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-ssse3-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-ssse3-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:34:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 34 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-gemmlowp-ssse3.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-rndna-ssse3.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-ssse3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-ssse3-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-ssse3-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:406:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 406 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__ssse3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-ssse3-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-ssse3-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-ssse3-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:407:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 407 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-ssse3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-ssse3-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-ssse3-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:88:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 88 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__ssse3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-ssse3-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-ssse3-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-ssse3-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:89:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 89 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-ssse3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-ssse3-x16.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-ssse3-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:39:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 39 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__ssse3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-ssse3-x32.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_f16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-ssse3-x32.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-ssse3-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:40:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 40 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_u32.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_f32.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x24-transposec/x24-transposec-4x4-ssse3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x24-transposec/x24-transposec-4x4-ssse3.c:22:42: warning: argument 7 of type ‘const union xnn_x24_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_x24_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x24-transposec/x24-transposec-4x4-ssse3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:143:45: note: previously declared as ‘const union xnn_x24_transpose_params *’ 143 | const union xnn_x24_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:155:1: note: in expansion of macro ‘DECLARE_X24_TRANSPOSEC_UKERNEL_FUNCTION’ 155 | DECLARE_X24_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x24_transposec_ukernel__4x4_ssse3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:49:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 49 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int16_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:50:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 50 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int16_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:51:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 51 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int16_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x32.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:52:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 52 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int16_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:54:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 54 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:55:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 55 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/shape_inference.cc.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:56:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 56 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:57:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 57 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:121:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 121 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:122:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 122 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x24.c.o [ 46%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/tensor/defs.cc.o [ 46%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/tensor/old.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:123:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 123 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse41_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:124:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 124 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse41-2x4.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse41-2x8.c.o [ 46%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/tensor/utils.cc.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:180:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 180 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:181:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 181 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:182:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 182 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse41_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:183:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 183 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x4.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:311:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 311 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_lut16_p3_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:312:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 312 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_lut16_p3_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x12.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x12.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:313:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 313 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_lut16_p3_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:314:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 314 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_lut16_p3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x20.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x20.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x20.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:315:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 315 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_lut16_p3_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x24.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:316:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 316 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_lut16_p3_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:318:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 318 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_p6_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:319:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 319 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_p6_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x12.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x12.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:320:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 320 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_p6_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:321:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 321 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_p6_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x20.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x20.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x20.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:322:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 322 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_p6_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:323:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 323 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_p6_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-sse41-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse41-x4.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse41-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:560:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 560 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse41_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse41-x8.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse41-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:561:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 561 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-sse41-x4.c.o [ 46%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/tensor_proto_util.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse41-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse41-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:723:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 723 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__sse41_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-sse41-x8.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_bf16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse41-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:724:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 724 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-sse41-x4.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse41-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse41-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:669:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 669 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__sse41_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse41-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:670:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 670 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-sse41-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse41-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse41-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:705:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 705 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__sse41_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse41-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:706:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 706 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-sse41-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse41-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse41-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:687:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 687 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__sse41_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-sse41-x8.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_u8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse41-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:688:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 688 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/tensor_util.cc.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x4.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:926:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 926 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x8.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:927:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 927 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x12.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x12.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:928:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 928 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x16.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:929:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 929 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x20.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x20.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:930:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 930 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x24.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:931:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 931 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x4.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x4.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:912:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 912 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_p5_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:913:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 913 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_p5_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x12.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x16.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x12.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x12.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:914:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 914 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_p5_div_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:915:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 915 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_p5_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:917:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 917 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_p5_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f16-f32-sse41-int16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x20.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x20.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:916:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 916 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_p5_div_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f16-f32-sse41-int32.c.o [ 46%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/traditionalml/defs.cc.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f32-f16-sse41.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundd-sse41.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundne-sse41.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_u32.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_i32.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundu-sse41.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_i64.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundz-sse41.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p8c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:946:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 946 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul16-add16.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_u64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:970:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 970 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:966:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 966 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul32.c.o [ 46%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/traditionalml/old.cc.o [ 46%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/training/defs.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:992:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 992 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:971:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 971 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:967:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 967 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul32.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:968:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 968 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:993:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 993 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:994:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 994 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1047:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1047 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1043:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1043 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul32.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul16-add16.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_f32.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_f16.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_f64.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1048:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1048 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1044:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1044 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1069:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1069 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul32.c.o [ 46%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/shape_inference/implementation.cc.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_bf16.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_f64.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse41-mul16.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse41-mul32.c.o [ 47%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/version_converter/convert.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1045:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1045 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1070:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1070 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1071:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1071 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/version_converter/helper.cc.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse41-ld64.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1788:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1788 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1808:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1808 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1828:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1828 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1848:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1848 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse41-ld128.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1867:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1867 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1883:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1883 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1789:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1789 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse41-ld128.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_u8.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_u32.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1809:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1809 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1829:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1829 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_i64.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1849:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1849 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1868:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1868 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse41-ld128.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1884:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1884 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1790:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1790 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse41-ld128.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1810:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1810 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1830:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1830 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1850:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1850 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse41-ld64.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse41-ld128.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1869:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1869 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1885:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1885 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1791:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1791 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse41-ld128.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1811:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1811 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1831:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1831 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1851:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1851 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_f16.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_u64.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse41-ld64.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1457:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1457 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1477:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1477 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1497:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1497 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1517:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1517 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_f32.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1536:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1536 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1552:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1552 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1458:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1458 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1478:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1478 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1498:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1498 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1518:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1518 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1537:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1537 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1553:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1553 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1459:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1459 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1479:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1479 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1499:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1499 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1519:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1519 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1538:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1538 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse41-ld128.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1554:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1554 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1460:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1460 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1480:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1480 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1500:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1500 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1520:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1520 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:706:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 706 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:702:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 702 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul32.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul16-add16.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:707:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 707 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:703:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 703 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:704:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 704 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_f64.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_i8.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:728:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 728 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:729:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 729 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:802:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 802 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:798:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 798 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:730:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 730 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:803:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 803 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_u8.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:824:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 824 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:799:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 799 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul32.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:800:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 800 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:825:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 825 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse41-mul32.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_bf16.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x8.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x16.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:826:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 826 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:361:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 361 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:362:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 362 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:363:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 363 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse41_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x32.c.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c8.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c8.c:27:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:132:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 132 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c16.c:27:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:133:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 133 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c24.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_u32.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c8.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c16.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c24.c:27:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:134:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 134 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c8.c:25:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:183:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 183 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c16.c:25:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:184:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 184 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse41_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c24.c:25:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:185:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 185 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse41_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:364:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 364 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse41-ld128.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1334:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1334 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1354:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1354 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1467:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1467 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1374:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1374 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1394:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1394 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1472:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1472 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2s4__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_f16.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_u64.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-sse41.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse41-ld128.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1417:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1417 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-sse41.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1477:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1477 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c8__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1437:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1437 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_f64.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_bf16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1335:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1335 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1355:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1355 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-sse41.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1468:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1468 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1375:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1375 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1395:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1395 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-sse41.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1418:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1418 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1473:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1473 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2s4__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse41-ld128.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1438:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1438 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-sse41.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1478:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1478 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c8__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse41-ld64.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1336:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1336 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1356:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1356 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-sse41.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1469:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1469 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1376:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1376 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1396:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1396 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1474:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1474 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2s4__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse41-ld64.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1419:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1419 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1439:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1439 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-sse41.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1479:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1479 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c8__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1337:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1337 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1357:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1357 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_f32.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1470:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1470 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_f16.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1377:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1377 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1397:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1397 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1475:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1475 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2s4__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1080:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1080 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1100:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1100 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1120:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1120 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse41-ld64.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1140:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1140 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1163:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1163 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1183:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1183 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse41-ld64.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1101:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1101 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1081:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1081 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1121:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1121 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1141:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1141 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse41-ld64.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1164:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1164 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1184:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1184 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1082:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1082 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1102:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1102 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1122:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1122 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1142:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1142 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_i64.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse41-ld64.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1165:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1165 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1185:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1185 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1083:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1083 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1103:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1103 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1123:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1123 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1143:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1143 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-gemmlowp-sse41.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_f16.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_u64.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-sse41.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_f32.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndnu-sse41-sra.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndnu-sse41-srl.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:128:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 128 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:129:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 129 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x24.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_f64.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:130:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 130 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul16_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:131:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 131 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul16_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_bf16.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x8.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x16.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x24.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:138:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 138 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:139:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 139 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:183:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 183 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x16.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:185:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 185 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul16_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:184:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 184 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x24.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:140:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 140 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul32_ld32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:186:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 186 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul16_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x8.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u8.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x32.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:141:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 141 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul32_ld32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x24.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:193:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 193 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:194:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 194 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i32.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-sse41-x8.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-sse41-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x24.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:195:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 195 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul32_ld32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x32.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:196:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 196 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul32_ld32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-sse41-x32.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse41-x8.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:316:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 316 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse41-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:317:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 317 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse41-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:318:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 318 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i64.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x8.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:36:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 36 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x16.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:37:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 37 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:38:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 38 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:108:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 108 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:109:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 109 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:137:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 137 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:138:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 138 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse41-mul16.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:539:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 539 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse41-mul32.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:554:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 554 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:540:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 540 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse41-mul32.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse41-mul16.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:548:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 548 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:549:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 549 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:614:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 614 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:555:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 555 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x8.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x16.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:615:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 615 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_bf16.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:455:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 455 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:456:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 456 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse41_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:454:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 454 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c8.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c16.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c24.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c8.c:27:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:235:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 235 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c24.c:27:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:237:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 237 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c8.c:25:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:286:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 286 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c16.c:27:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:236:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 236 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:457:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 457 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c16.c:25:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:287:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 287 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse41_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c24.c:25:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:288:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 288 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse41_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse41-ld128.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:757:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 757 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:777:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 777 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:797:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 797 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_u8.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse41-ld128.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_i32.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:817:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 817 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:836:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 836 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:852:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 852 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_u32.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse41-ld128.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:758:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 758 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:778:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 778 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:798:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 798 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse41-ld64.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:818:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 818 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:837:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 837 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:853:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 853 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_u64.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:759:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 759 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_f16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:779:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 779 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:799:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 799 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f64.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:819:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 819 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:838:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 838 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse41-ld128.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:854:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 854 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:760:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 760 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse41-ld128.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:780:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 780 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:800:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 800 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:820:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 820 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:510:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 510 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse41-ld128.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:530:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 530 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:550:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 550 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse41-ld64.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:570:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 570 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:589:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 589 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_bf16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:605:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 605 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:511:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 511 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse41-ld128.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:551:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 551 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:531:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 531 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:571:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 571 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:590:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 590 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld128.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_f64.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse41-ld64.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse41-ld128.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:512:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 512 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:606:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 606 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:532:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 532 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:552:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 552 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse41-ld64.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse41-ld128.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:572:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 572 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:591:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 591 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:607:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 607 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:513:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 513 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_i32.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_u32.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_u8.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse41-ld128.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_i8.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:533:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 533 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:553:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 553 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_i64.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:573:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 573 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-gemmlowp-sse41.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-rndna-sse41.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:39:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 39 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:40:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 40 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:45:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 45 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse41_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:46:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 46 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse41_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:77:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 77 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:78:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 78 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-x8.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_u64.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-x16.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:83:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 83 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse41_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-sse41-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:84:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 84 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse41_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse41-x8.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:409:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 409 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_f32.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-sse41-x32.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_f64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse41-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:410:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 410 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x8.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_f16.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x16.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse41-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:411:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 411 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_bf16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x8.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:91:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 91 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse41-mul16-ld64-x8.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:42:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 42 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:43:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 43 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:92:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 92 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_u8.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:71:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 71 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:93:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 93 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:72:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 72 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-sse41-c8.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-sse41-c16.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse41-c16.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-vclamp/s8-vclamp-sse41-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse41-c16.c:23:38: warning: argument 9 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse41-c16.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:86:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 86 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:93:1: note: in expansion of macro ‘DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 93 | DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_s8_maxpool_minmax_ukernel_9p8x__sse41_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-vclamp/s8-vclamp-sse41-x64.c:18:38: warning: argument 4 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 18 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-vclamp/s8-vclamp-sse41-x64.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1129:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 1129 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1134:1: note: in expansion of macro ‘DECLARE_S8_VCLAMP_UKERNEL_FUNCTION’ 1134 | DECLARE_S8_VCLAMP_UKERNEL_FUNCTION(xnn_s8_vclamp_ukernel__sse41_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_u32.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_i32.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-sse41-c8.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-sse41-c16.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:59:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 59 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int16_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:60:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 60 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int16_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:61:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 61 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int16_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_i64.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:62:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 62 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int16_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x8.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:64:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 64 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_u64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:65:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 65 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:66:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 66 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:67:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 67 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-avx-acc2.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_f16.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-avx.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-avx-acc2.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-avx.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-avx-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-avx-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-avx-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:84:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 84 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l8c8s4r__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-avx.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-avx.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:83:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 83 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l8c8s4r__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_f64.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_f32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-avx-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-avx-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:86:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 86 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l16c8s4r__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-avx.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-avx.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:85:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 85 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l16c8s4r__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-avx-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-avx-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:88:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 88 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l32c8s4r__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-avx-acc2.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-avx.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-avx.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-avx.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:87:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 87 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l32c8s4r__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:164:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 164 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:163:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 163 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-avx-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:174:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 174 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-avx.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_bf16.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_f32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:173:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 173 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:193:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 193 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:192:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 192 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx-acc2.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:203:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 203 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:202:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 202 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-avx-acc2.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_u8.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-avx.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx-acc2.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:224:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 224 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_i32.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:223:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 223 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:233:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 233 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:234:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 234 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx-acc2.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:253:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 253 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:126:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 126 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:252:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 252 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:127:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 127 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x24.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x32.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_i64.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:128:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 128 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:129:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 129 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx-broadcast.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_f16.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_u64.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:263:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 263 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:262:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 262 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-avx-broadcast.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_f32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:251:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 251 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:252:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 252 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x16-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:253:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 253 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x16-minmax-avx-broadcast.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_bf16.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_f64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:254:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 254 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-6x8-minmax-avx-broadcast.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:257:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 257 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:255:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 255 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:256:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 256 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_u8.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-7x8-minmax-avx-broadcast.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-6x8-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-6x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:258:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 258 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_6x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:557:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 557 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_i32.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x16-minmax-avx-broadcast.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-7x8-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-7x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:259:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 259 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_7x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:558:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 558 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_i64.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x16-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:559:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 559 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_i8.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x16-minmax-avx-broadcast.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x8-minmax-avx-broadcast.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:560:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 560 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:561:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 561 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:562:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 562 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_f16.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-6x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:563:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 563 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-7x8-minmax-avx-broadcast.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8-minmax-avx-broadcast.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx-broadcast.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_u64.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x16-minmax-avx-broadcast.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-6x8-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-6x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:564:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 564 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_6x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-7x8-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-7x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:565:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 565 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_7x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:166:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 166 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x16-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:167:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 167 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:165:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 165 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx-broadcast.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-6x8-minmax-avx-broadcast.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_f64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:169:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 169 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:168:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 168 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_bf16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:170:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 170 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-7x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:171:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 171 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u8.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-6x8-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-6x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:172:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 172 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_6x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-avx-2x8.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-avx-2x16.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-7x8-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-7x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:173:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 173 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_7x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i32.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u32.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:185:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 185 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x16.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x24.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_f32.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x32.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x8.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:186:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 186 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:187:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 187 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:253:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 253 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:254:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 254 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:188:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 188 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x32.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-rmax/f32-rmax-avx.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-avx-x8.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:255:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 255 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:256:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 256 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:328:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 328 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-avx-x16.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_bf16.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-avx-x8.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f64.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_i8.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:329:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 329 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-avx-x8.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:530:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 530 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_i32.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_u8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:531:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 531 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:351:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 351 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:352:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 352 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:553:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 553 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:554:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 554 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-avx-x16.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_u64.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-avx-x8.c.o [ 52%] Linking CXX static library ../../lib/libonnx.a /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx-x8.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:186:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 186 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx-x16.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:187:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 187 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_f32.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_f16.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f32.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-avx-x8.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx-x8.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:468:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 468 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx-x16.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:469:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 469 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx-x8.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:209:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 209 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-avx-x8.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx-x8.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:491:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 491 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx-x16.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:210:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 210 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Built target onnx /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx-x16.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:492:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 492 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-avx-x8.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:375:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 375 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:374:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 374 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-avx-x8.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:599:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 599 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_bf16.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-avx-x8.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:600:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 600 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:576:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 576 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:577:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 577 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-avx-x16.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:645:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 645 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_i32.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_u8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:646:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 646 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_i8.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-avx-x16.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_f64.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx-x8.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:232:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 232 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx-x8.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:514:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 514 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx-x16.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:515:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 515 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx-x16.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:233:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 233 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx-x16.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_i64.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-avx-x8.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:397:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 397 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:398:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 398 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_f16.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_u64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:622:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 622 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:623:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 623 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_f64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx-x8.c:22:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx-x16.c:22:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:242:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 242 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:243:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 243 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:325:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 325 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_i8.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_bf16.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:326:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 326 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_f32.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x32.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x40.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:327:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 327 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x32.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:328:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 328 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_i32.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_u8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x40.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:329:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 329 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x48.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:330:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 330 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x8.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x16.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x24.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x8.c:25:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:332:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 332 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut16_p3_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x16.c:25:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:333:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 333 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut16_p3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x24.c:25:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:334:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 334 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut16_p3_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x32.c:25:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:335:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 335 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut16_p3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_u64.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_i64.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x40.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x48.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x40.c:25:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x40.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:336:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 336 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut16_p3_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x48.c:25:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:337:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 337 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut16_p3_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:339:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 339 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_p6_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-x16.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-x24.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:340:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 340 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_p6_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x32.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:342:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 342 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_p6_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:341:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 341 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_p6_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_f32.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_f16.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_u32.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x40.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:343:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 343 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_p6_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_bf16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x48.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:344:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 344 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_p6_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx-x8.c:22:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:507:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 507 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx-x16.c:22:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:508:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 508 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx-x8.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:563:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 563 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx-x16.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:564:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 564 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx-x8.c:24:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:625:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 625 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx-x16.c:24:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx-x16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:626:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 626 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:710:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 710 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-avx-x16.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_f64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:711:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 711 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:656:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 656 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:657:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 657 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:692:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 692 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:693:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 693 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx-x8.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx-x16.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:674:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 674 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:675:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 675 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:933:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 933 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_u8.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x24.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:934:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 934 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:936:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 936 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:935:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 935 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x40.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:937:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 937 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_u32.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_i32.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x56.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x48.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:938:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 938 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_i64.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x56.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:939:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 939 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x72.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_u64.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x72.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:941:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 941 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x64.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:940:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 940 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x16.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x24.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x80.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:942:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 942 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:944:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 944 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x40.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:945:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 945 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x56.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:946:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 946 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_f16.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x64.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_f32.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x72.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x40.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x48.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:949:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 949 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:948:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 948 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:947:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 947 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x80.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-x8.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_f64.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x56.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:950:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 950 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_bf16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x64.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:951:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 951 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x72.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:952:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 952 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-x16.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x80.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:953:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 953 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-x8.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:764:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 764 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx_sqrt_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-avx-x16.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_i8.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx-x8.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_u8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-x16.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:765:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 765 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx_sqrt_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:221:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 221 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx-x16.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_i32.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:222:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 222 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:604:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 604 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-avx-x8.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:605:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 605 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx-rr2-p5.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-avx-rr2-lut4-p4-perm.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1111:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1111 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-avx-rr2-lut16-p3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1110:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1110 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-avx-rr2-p6.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_u64.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_i64.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_f32.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx-rr2-lut64-p2-div.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx-rr2-p5-div.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx-rr2-p5-nr1.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx-rr2-p5-nr2.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_f16.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:947:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 947 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:977:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 977 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:973:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 973 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul32.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_bf16.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:978:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 978 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:974:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 974 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul32.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_f64.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx-mul16.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:975:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 975 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1054:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1054 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_u8.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:996:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 996 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:997:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 997 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1050:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1050 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:998:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 998 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1055:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1055 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1051:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1051 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul32.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx-mul16.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1073:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1073 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1052:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1052 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx-mul32.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-avx-ld64.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1793:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1793 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1813:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1813 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1074:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1074 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1075:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1075 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1853:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1853 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1833:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1833 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_u32.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_i64.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1871:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1871 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-avx-ld128.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1887:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1887 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1794:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1794 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1814:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1814 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1834:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1834 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1854:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1854 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1872:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1872 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1888:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1888 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-avx-ld128.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1795:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1795 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1815:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1815 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1835:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1835 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_f16.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_u64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1855:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1855 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-avx-ld64.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_f32.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1873:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1873 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_f64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1889:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1889 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1796:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1796 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1816:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1816 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1836:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1836 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1856:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1856 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1462:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1462 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1482:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1482 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1502:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1502 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1522:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1522 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-avx-ld64.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_bf16.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_i8.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1540:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1540 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1556:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1556 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1463:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1463 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1483:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1483 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1503:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1503 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1523:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1523 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1541:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1541 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1557:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1557 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1464:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1464 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1484:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1484 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1504:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1504 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1524:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1524 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1542:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1542 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1558:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1558 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-avx-ld64.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1485:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1485 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1465:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1465 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1505:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1505 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1525:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1525 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:713:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 713 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:709:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 709 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul32.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:714:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 714 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:710:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 710 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:732:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 732 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx-mul16.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:711:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 711 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx-mul32.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:733:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 733 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:809:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 809 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:805:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 805 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul32.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:734:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 734 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:810:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 810 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:806:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 806 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:807:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 807 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_u64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:828:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 828 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:829:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 829 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x8.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_f16.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x16.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x24.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:830:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 830 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:366:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 366 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1339:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1339 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-avx-ld128.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-avx.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1359:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1359 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1481:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1481 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:367:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 367 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1379:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1379 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:368:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 368 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_f64.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-avx.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_f32.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:369:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 369 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1399:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1399 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1486:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1486 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2s4__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1421:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1421 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1441:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1441 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-avx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1491:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1491 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c8__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-avx-ld128.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1340:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1340 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1360:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1360 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1482:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1482 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_bf16.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_i8.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1380:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1380 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1400:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1400 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1487:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1487 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2s4__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-avx-ld64.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-avx-ld128.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_i32.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_u8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1422:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1422 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-avx.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1442:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1442 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-avx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1492:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1492 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c8__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-avx-ld64.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_u64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_u8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1341:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1341 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1361:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1361 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1483:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1483 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1381:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1381 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1401:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1401 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-avx.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1488:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1488 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2s4__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1423:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1423 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-avx-ld128.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1443:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1443 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-avx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1493:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1493 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c8__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_f32.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1342:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1342 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1362:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1362 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-avx.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1484:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1484 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1382:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1382 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_f64.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_bf16.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_f16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1402:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1402 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-avx.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1489:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1489 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2s4__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-avx-ld128.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_u8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1085:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1085 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1105:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1105 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_i32.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1125:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1125 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1145:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1145 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1167:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1167 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1187:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1187 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1086:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1086 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1106:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1106 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_u32.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1126:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1126 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1146:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1146 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1168:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1168 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1188:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1188 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-avx-ld64.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1087:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1087 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1107:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1107 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1127:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1127 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1147:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1147 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-avx-ld64.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1169:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1169 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1189:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1189 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-avx-ld64.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_u64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1088:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1088 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-avx-ld128.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_i8.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1108:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1108 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1128:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1128 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x8.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x16.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1148:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1148 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:133:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 133 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:134:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 134 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:135:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 135 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul16_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x8.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:136:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 136 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul16_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x24.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:143:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 143 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:144:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 144 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x24.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:145:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 145 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul32_ld32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_f64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_f32.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x8.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:188:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 188 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:189:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 189 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_bf16.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x32.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:146:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 146 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul32_ld32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:190:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 190 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul16_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x32.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_u8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:191:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 191 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul16_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:198:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 198 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:199:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 199 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x24.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:200:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 200 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul32_ld32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x32.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:201:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 201 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul32_ld32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx-x8.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx-x8.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:320:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 320 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:321:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 321 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:322:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 322 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x8.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:40:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 40 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x16.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x32.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:111:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 111 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:41:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 41 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:112:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 112 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:140:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 140 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-x16.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:141:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 141 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:42:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 42 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:542:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 542 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul32.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:557:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 557 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:543:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 543 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul32.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_u64.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul16.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:551:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 551 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:558:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 558 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:552:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 552 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:617:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 617 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_f16.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx-mul32.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x8.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x16.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x24.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:459:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 459 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:618:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 618 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:762:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 762 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:461:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 461 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:462:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 462 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:460:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 460 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:782:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 782 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:802:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 802 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:822:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 822 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_f32.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld128.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:840:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 840 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:856:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 856 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:763:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 763 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:783:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 783 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:803:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 803 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:823:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 823 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:841:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 841 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_f64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_bf16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:857:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 857 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-avx-ld64.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:764:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 764 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:784:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 784 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i8.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:804:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 804 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:824:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 824 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:842:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 842 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-avx-ld128.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-avx-ld64.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:858:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 858 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:765:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 765 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u32.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:785:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 785 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:805:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 805 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f16.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:825:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 825 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:515:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 515 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-avx-ld128.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_f16.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:535:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 535 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:555:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 555 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:575:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 575 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-avx-ld64.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f64.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:593:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 593 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:609:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 609 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_bf16.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:516:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 516 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-avx-ld128.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:536:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 536 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:556:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 556 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:576:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 576 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-avx-ld64.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:594:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 594 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:610:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 610 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-avx-ld64.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:517:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 517 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:537:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 537 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:557:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 557 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:577:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 577 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-avx-ld64.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:595:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 595 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:611:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 611 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-avx-ld64.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:518:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 518 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:538:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 538 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:558:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 558 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:578:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 578 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:42:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 42 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:43:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 43 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-x8.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i32.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:48:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 48 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:80:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 80 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u32.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:49:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 49 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:81:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 81 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-x8.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-x16.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx-x8.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:86:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 86 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:87:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 87 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx-x8.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:413:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 413 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u64.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx-x32.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x8.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x16.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:414:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 414 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:45:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 45 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:46:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 46 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x8.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:95:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 95 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:74:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 74 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:97:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 97 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:415:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 415 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-x16.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx-x16.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx-x32.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx-x48.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:75:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 75 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:96:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 96 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx-x64.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-multi-mov-avx.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-multi-switch-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x48.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:44:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 44 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x16.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-reuse-mov-avx.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:42:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 42 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-multi-mov-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-multi-mov-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:129:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 129 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__8x8_multi_mov_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-multi-switch-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-multi-switch-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:130:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 130 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__8x8_multi_switch_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x64.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:45:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 45 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x32.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:43:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 43 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f16.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-reuse-multi-avx.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-reuse-switch-avx.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-multi-mov-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-reuse-mov-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-reuse-mov-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:131:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 131 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__8x8_reuse_mov_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_bf16.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-multi-multi-avx.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-multi-switch-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-reuse-multi-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-reuse-multi-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:132:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 132 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__8x8_reuse_multi_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling functions.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/functions.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-multi-multi-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-multi-multi-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:67:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 67 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__4x4_multi_multi_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-reuse-switch-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-reuse-switch-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:133:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 133 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__8x8_reuse_switch_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-reuse-mov-avx.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-reuse-multi-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-multi-mov-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-multi-mov-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:66:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 66 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__4x4_multi_mov_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-multi-switch-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-multi-switch-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:68:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 68 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__4x4_multi_switch_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-reuse-switch-avx.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-avgpool/f16-avgpool-9p8x-minmax-f16c-c8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-avgpool/f16-avgpool-9x-minmax-f16c-c8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-reuse-mov-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-reuse-mov-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:69:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 69 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__4x4_reuse_mov_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-reuse-multi-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-reuse-multi-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:70:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 70 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__4x4_reuse_multi_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-reuse-switch-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-reuse-switch-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:71:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 71 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__4x4_reuse_switch_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-f16c-c8.c:25:44: warning: argument 11 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-f16c-c8.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:34:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 34 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:36:1: note: in expansion of macro ‘DECLARE_F16_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 36 | DECLARE_F16_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_avgpool_minmax_ukernel_9p8x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-f16c-c8.c:24:44: warning: argument 10 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-f16c-c8.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:51:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 51 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:53:1: note: in expansion of macro ‘DECLARE_F16_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 53 | DECLARE_F16_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_avgpool_minmax_ukernel_9x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:69:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 69 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c32.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:70:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 70 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c8.c:27:44: warning: argument 8 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:68:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 68 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:75:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 75 | DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7p7x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c16.c:27:44: warning: argument 8 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:68:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 68 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:76:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 76 | DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7p7x__f16c_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c32.c:27:44: warning: argument 8 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:68:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 68 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:78:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 78 | DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7p7x__f16c_c32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c24.c:27:44: warning: argument 8 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:68:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 68 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:77:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 77 | DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7p7x__f16c_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c8.c:25:44: warning: argument 7 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:89:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 89 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:96:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 96 | DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-maxpool/f16-maxpool-9p8x-minmax-f16c-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c16.c:25:44: warning: argument 7 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:89:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 89 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:97:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 97 | DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7x__f16c_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-prelu/gen/f16-prelu-f16c-2x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-prelu/gen/f16-prelu-f16c-2x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c24.c:25:44: warning: argument 7 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:89:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 89 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:98:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 98 | DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7x__f16c_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-rmax/f16-rmax-f16c.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vadd-minmax-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vadd-minmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c32.c:25:44: warning: argument 7 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:89:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 89 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:99:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 99 | DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7x__f16c_c32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vaddc-minmax-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-maxpool/f16-maxpool-9p8x-minmax-f16c-c8.c:23:39: warning: argument 9 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-maxpool/f16-maxpool-9p8x-minmax-f16c-c8.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:32:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 32 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:34:1: note: in expansion of macro ‘DECLARE_F16_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 34 | DECLARE_F16_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_f16_maxpool_minmax_ukernel_9p8x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vaddc-minmax-f16c-x16.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdiv-minmax-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdiv-minmax-f16c-x16.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vadd-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vadd-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:84:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 84 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vadd_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vadd-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vadd-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:83:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 83 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vadd_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vaddc-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vaddc-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:148:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 148 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vaddc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vaddc-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vaddc-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:149:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 149 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vaddc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdiv-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdiv-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:86:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 86 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vdiv_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdiv-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdiv-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:85:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 85 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vdiv_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmaxc-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmaxc-f16c-x16.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmin-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:150:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 150 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vdivc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:151:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 151 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vdivc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmin-f16c-x16.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vminc-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vminc-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmax-f16c-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:54:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 54 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmax-f16c-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:55:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 55 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmin-f16c-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmin-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:56:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 56 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmin_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmaxc-f16c-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmaxc-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:110:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 110 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmaxc_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmaxc-f16c-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmaxc-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:109:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 109 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmaxc_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vminc-f16c-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vminc-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:111:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 111 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vminc_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-x16.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmin-f16c-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmin-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:57:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 57 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmin_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vminc-f16c-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vminc-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:112:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 112 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vminc_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-x16.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmul-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmul-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:88:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 88 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmul_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmul-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmul-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:87:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 87 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmul_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-f16c-x16.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:152:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 152 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmulc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:153:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 153 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmulc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:155:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 155 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vrdivc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:156:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 156 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vrsubc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:154:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 154 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vrdivc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiff-f16c-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiff-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:59:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 59 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vsqrdiff_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:113:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 113 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vsqrdiffc_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-f16c-x16.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:114:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 114 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vsqrdiffc_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vclamp/gen/f16-vclamp-f16c-x8.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:157:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 157 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vrsubc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiff-f16c-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiff-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:58:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 58 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vsqrdiff_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vclamp/gen/f16-vclamp-f16c-x16.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vhswish/gen/f16-vhswish-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vlrelu/gen/f16-vlrelu-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vhswish/gen/f16-vhswish-f16c-x16.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vlrelu/gen/f16-vlrelu-f16c-x16.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndd-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsub-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsub-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:89:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 89 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vsub_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndd-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:159:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 159 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vsubc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Built target fbgemm_avx2 /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vclamp/gen/f16-vclamp-f16c-x8.c:23:39: warning: argument 4 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vclamp/gen/f16-vclamp-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:38:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 38 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:43:1: note: in expansion of macro ‘DECLARE_F16_VCLAMP_UKERNEL_FUNCTION’ 43 | DECLARE_F16_VCLAMP_UKERNEL_FUNCTION(xnn_f16_vclamp_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndne-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vlrelu/gen/f16-vlrelu-f16c-x8.c:23:38: warning: argument 4 of type ‘const union xnn_f16_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vclamp/gen/f16-vclamp-f16c-x16.c:23:39: warning: argument 4 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vhswish/gen/f16-vhswish-f16c-x8.c:23:39: warning: argument 4 of type ‘const union xnn_f16_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vclamp/gen/f16-vclamp-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:38:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 38 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:44:1: note: in expansion of macro ‘DECLARE_F16_VCLAMP_UKERNEL_FUNCTION’ 44 | DECLARE_F16_VCLAMP_UKERNEL_FUNCTION(xnn_f16_vclamp_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vlrelu/gen/f16-vlrelu-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:534:41: note: previously declared as ‘const union xnn_f16_lrelu_params *’ 534 | const union xnn_f16_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:539:1: note: in expansion of macro ‘DECLARE_F16_VLRELU_UKERNEL_FUNCTION’ 539 | DECLARE_F16_VLRELU_UKERNEL_FUNCTION(xnn_f16_vlrelu_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vhswish/gen/f16-vhswish-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:66:42: note: previously declared as ‘const union xnn_f16_hswish_params *’ 66 | const union xnn_f16_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:71:1: note: in expansion of macro ‘DECLARE_F16_VHSWISH_UKERNEL_FUNCTION’ 71 | DECLARE_F16_VHSWISH_UKERNEL_FUNCTION(xnn_f16_vhswish_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndne-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndd-f16c-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndd-f16c-x8.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:112:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 112 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndd_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Linking CXX static library ../../lib/libfbgemm.a [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndu-f16c-x8.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndu-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsub-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsub-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:90:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 90 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vsub_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndz-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vlrelu/gen/f16-vlrelu-f16c-x16.c:23:38: warning: argument 4 of type ‘const union xnn_f16_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vlrelu/gen/f16-vlrelu-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:534:41: note: previously declared as ‘const union xnn_f16_lrelu_params *’ 534 | const union xnn_f16_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:540:1: note: in expansion of macro ‘DECLARE_F16_VLRELU_UKERNEL_FUNCTION’ 540 | DECLARE_F16_VLRELU_UKERNEL_FUNCTION(xnn_f16_vlrelu_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndz-f16c-x16.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-x8.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:158:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 158 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vsubc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vsqr-f16c-x8.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vsqr-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vhswish/gen/f16-vhswish-f16c-x16.c:23:39: warning: argument 4 of type ‘const union xnn_f16_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vhswish/gen/f16-vhswish-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:66:42: note: previously declared as ‘const union xnn_f16_hswish_params *’ 66 | const union xnn_f16_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:72:1: note: in expansion of macro ‘DECLARE_F16_VHSWISH_UKERNEL_FUNCTION’ 72 | DECLARE_F16_VHSWISH_UKERNEL_FUNCTION(xnn_f16_vhswish_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndd-f16c-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndd-f16c-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:113:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 113 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndd_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndne-f16c-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndne-f16c-x8.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:97:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 97 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndne_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndu-f16c-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndu-f16c-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndu-f16c-x8.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:107:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 107 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndu_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndu-f16c-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:108:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 108 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndu_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f16-f32-f16c.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndz-f16c-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndz-f16c-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:103:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 103 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndz_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndz-f16c-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndz-f16c-x8.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:102:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 102 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndz_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-x8.c:23:37: warning: argument 4 of type ‘const union xnn_f16_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-x16.c:23:37: warning: argument 4 of type ‘const union xnn_f16_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:190:40: note: previously declared as ‘const union xnn_f16_sqrt_params *’ 190 | const union xnn_f16_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:204:1: note: in expansion of macro ‘DECLARE_F16_VSQRT_UKERNEL_FUNCTION’ 204 | DECLARE_F16_VSQRT_UKERNEL_FUNCTION(xnn_f16_vsqrt_ukernel__f16c_sqrt_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:190:40: note: previously declared as ‘const union xnn_f16_sqrt_params *’ 190 | const union xnn_f16_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:205:1: note: in expansion of macro ‘DECLARE_F16_VSQRT_UKERNEL_FUNCTION’ 205 | DECLARE_F16_VSQRT_UKERNEL_FUNCTION(xnn_f16_vsqrt_ukernel__f16c_sqrt_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndne-f16c-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndne-f16c-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:98:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 98 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndne_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f32-f16-f16c.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-xop-mul16-add16.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-xop-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vsqr-f16c-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vsqr-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:176:43: note: previously declared as ‘const union xnn_f16_default_params *’ 176 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:182:1: note: in expansion of macro ‘DECLARE_F16_VSQR_UKERNEL_FUNCTION’ 182 | DECLARE_F16_VSQR_UKERNEL_FUNCTION(xnn_f16_vsqr_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-xop-mul32.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-xop-mul16-add16.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vsqr-f16c-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vsqr-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:176:43: note: previously declared as ‘const union xnn_f16_default_params *’ 176 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:181:1: note: in expansion of macro ‘DECLARE_F16_VSQR_UKERNEL_FUNCTION’ 181 | DECLARE_F16_VSQR_UKERNEL_FUNCTION(xnn_f16_vsqr_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-xop-mul16-add16.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-xop-mul32.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-f16c-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:131:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 131 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-xop-mul16-add16.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-f16c-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:132:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 132 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-xop-mul32.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-xop-mul32.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-xop-ld64.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:980:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 980 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1001:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1001 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1057:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1057 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1002:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1002 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1077:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1077 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1079:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1079 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1078:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1078 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:949:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 949 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:981:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 981 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1000:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1000 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1058:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1058 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-xop-ld64.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-xop-ld128.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-xop-ld64.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-xop-ld128.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c.o [ 59%] Built target fbgemm [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-xop-ld64.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-xop-ld128.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1798:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1798 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-xop-ld128.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1818:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1818 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-xop-ld64.c.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/AccumulateType.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/CPUGeneratorImpl.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1838:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1838 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ConjugateFallback.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1858:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1858 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Context.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1799:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1799 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1859:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1859 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/DLConvertor.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Dispatch.cpp.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1875:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1875 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1891:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1891 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1840:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1840 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1860:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1860 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1877:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1877 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/DynamicLibrary.cpp.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-xop-ld64.c.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ExpandUtils.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/EmptyTensor.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1819:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1819 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1839:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1839 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1800:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1800 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1820:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1820 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1876:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1876 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1892:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1892 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/FuncTorchTLS.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/FunctionalInverses.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/FunctionalStorageImpl.cpp.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/FunctionalTensorWrapper.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/FunctionalizeFallbackKernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1893:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1893 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/LegacyBatchedFallback.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1801:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1801 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/LegacyBatchedTensorImpl.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/LegacyBatchingRegistrations.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/LegacyVmapMode.cpp.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1841:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1841 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1821:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1821 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1861:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1861 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/LegacyVmapTransforms.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/MapAllocator.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/MemoryOverlap.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/NamedTensorUtils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1467:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1467 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-xop-ld128.c.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/NestedTensorImpl.cpp.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ParallelCommon.cpp.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1487:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1487 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1507:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1507 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ParallelNative.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ParallelNativeTBB.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ParallelOpenMP.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ParallelThreadPoolNative.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1527:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1527 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/PythonTorchFunctionTLS.cpp.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-xop-ld64.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-xop-ld128.c.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/SavedTensorHooks.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ScalarOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1560:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1560 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1544:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1544 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/SequenceNumber.cpp.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-xop-ld64.c.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/SparseCsrTensorImpl.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/SparseTensorImpl.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/SparseTensorUtils.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/TensorGeometry.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1468:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1468 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-xop-ld128.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1488:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1488 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1508:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1508 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/TensorIndexing.cpp.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/TensorIterator.cpp.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/TensorMeta.cpp.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-xop-ld64.c.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/TensorNames.cpp.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/TensorUtils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1528:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1528 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1545:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1545 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ThreadLocalPythonObjects.cpp.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ThreadLocalState.cpp.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Utils.cpp.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Version.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1561:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1561 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-xop-ld64.c.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/VmapModeRegistrations.cpp.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ZeroTensorFallback.cpp.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1469:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1469 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/autocast_mode.cpp.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/cpu/FlushDenormal.cpp.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-xop-ld64.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1509:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1509 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1489:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1489 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-xop-ld64.c.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/detail/CPUGuardImpl.cpp.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1546:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1546 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/detail/CUDAHooksInterface.cpp.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1529:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1529 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1470:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1470 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1562:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1562 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/detail/HIPHooksInterface.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1490:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1490 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/detail/MPSHooksInterface.cpp.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/detail/MetaGuardImpl.cpp.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-xop-mul16-add16.c.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/detail/ORTHooksInterface.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1510:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1510 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-xop-mul32.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/ADInterpreters.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:716:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 716 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1530:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1530 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesActivation.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesBinaryOps.cpp.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-xop-mul16-add16.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesConvolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:736:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 736 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-xop-mul32.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:717:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 717 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-xop-mul16-add16.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-xop-mul32.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-xop-mul16-add16.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:737:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 737 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:738:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 738 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-xop-mul32.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:812:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 812 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesDecompositions.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:832:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 832 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:813:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 813 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:833:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 833 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-xop.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:834:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 834 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesDynamic.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesFactory.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesHelper.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesLinearAlgebra.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesLoss.cpp.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-xop.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1364:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1364 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1344:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1344 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesModules.cpp.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-xop-ld64.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1495:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1495 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-xop.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesNorm.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1404:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1404 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1500:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1500 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2s4__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1425:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1425 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1384:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1384 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1445:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1445 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesPooling.cpp.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-xop.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesRandomness.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-xop.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1505:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1505 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c8__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1345:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1345 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1365:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1365 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesReduceOps.cpp.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-xop.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1385:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1385 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1496:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1496 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-xop-ld128.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-xop.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1405:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1405 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesScatterOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1501:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1501 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2s4__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesUnaryOps.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesViews.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1426:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1426 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1446:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1446 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-xop.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1506:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1506 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c8__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-xop-ld64.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-xop-ld128.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-xop.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1346:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1346 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1366:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1366 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchedFallback.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchedTensorImpl.cpp.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1497:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1497 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1386:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1386 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-xop.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-xop-ld64.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-xop-ld128.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-xop.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1406:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1406 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/DynamicLayer.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1502:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1502 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2s4__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1427:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1427 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1447:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1447 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/FunctionalizeInterpreter.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-xop.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1507:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1507 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c8__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-xop-ld64.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-xop-ld128.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/Interpreter.cpp.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-xop.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1347:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1347 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1367:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1367 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/LegacyVmapTransforms.cpp.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1498:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1498 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1387:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1387 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/PlumbingHelper.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1407:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1407 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-xop.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-xop-ld64.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-xop-ld128.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1503:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1503 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2s4__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1090:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1090 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1110:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1110 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/PyTorchOperatorHacks.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1130:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1130 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-xop-ld64.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1150:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1150 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1171:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1171 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1191:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1191 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/TensorWrapper.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/VmapInterpreter.cpp.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-xop-ld64.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-xop-ld128.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1091:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1091 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1111:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1111 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1151:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1151 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1131:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1131 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1172:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1172 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-xop-ld128.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/VmapModeRegistrations.cpp.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1192:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1192 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1112:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1112 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1132:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1132 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-xop-ld128.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/record_function.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1092:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1092 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1152:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1152 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-xop-ld64.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-xop-ld128.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1173:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1173 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1193:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1193 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1113:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1113 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1093:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1093 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1133:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1133 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x16.c.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x24.c.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/ATenGeneral.cpp.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/BackendSelectFallbackKernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1153:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1153 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x8.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x8.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:148:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 148 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/DeprecatedTypeProperties.cpp.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x16.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x16.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:149:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 149 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__xop_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x24.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x24.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:150:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 150 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__xop_mul32_ld32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x32.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/DeprecatedTypePropertiesRegistry.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x32.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:151:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 151 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__xop_mul32_ld32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x8.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x8.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:203:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 203 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x16.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x16.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:204:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 204 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__xop_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x24.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x24.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:205:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 205 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__xop_mul32_ld32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x32.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x32.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:206:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 206 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__xop_mul32_ld32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Dict.cpp.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Dimname.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:560:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 560 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Formatting.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:561:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 561 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-xop-mul32.c.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:620:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 620 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Generator.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:621:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 621 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-xop-ld64.c.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-xop-ld128.c.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/List.cpp.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/NamedRegistrations.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:767:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 767 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/NamedTensor.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:787:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 787 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:807:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 807 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/PythonFallbackKernel.cpp.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/PythonOpRegistrationTrampoline.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:827:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 827 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-xop-ld64.c.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:844:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 844 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Range.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:860:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 860 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-xop-ld64.c.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-xop-ld128.c.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Tensor.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:768:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 768 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/TorchDispatchUtils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:788:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 788 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/VariableFallbackKernel.cpp.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/VariableHooksInterface.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:828:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 828 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:808:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 808 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Vitals.cpp.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-xop-ld64.c.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/adaption.cpp.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/blob.cpp.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/boxing/KernelFunction.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:845:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 845 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-xop-ld128.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:861:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 861 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-xop-ld128.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:769:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 769 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/class_type.cpp.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-xop-ld64.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:789:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 789 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-xop-ld64.c.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/custom_class.cpp.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/dispatch/DispatchKeyExtractor.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:809:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 809 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-xop-ld128.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:770:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 770 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:829:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 829 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:846:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 846 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:862:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 862 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/dispatch/Dispatcher.cpp.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:810:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 810 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:790:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 790 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-xop-ld64.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-xop-ld128.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-xop-ld64.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-xop-ld128.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:520:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 520 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:540:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 540 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:560:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 560 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/dispatch/ObservedOperators.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:830:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 830 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/dispatch/OperatorEntry.cpp.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-xop-ld64.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:597:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 597 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/dynamic_type.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:613:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 613 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:580:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 580 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-xop-ld64.c.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/function_schema.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:581:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 581 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:561:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 561 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:541:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 541 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-xop-ld128.c.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/interned_strings.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:521:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 521 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:598:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 598 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/ivalue.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:522:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 522 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:614:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 614 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/library.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:542:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 542 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:562:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 562 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/op_registration/infer_schema.cpp.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/op_registration/op_registration.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:582:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 582 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-xop-ld128.c.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/operator_name.cpp.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:599:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 599 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:615:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 615 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/register_symbols.cpp.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/tensor_type.cpp.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:523:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 523 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/type.cpp.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-xop-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:543:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 543 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:563:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 563 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/type_factory.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:583:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 583 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/union_type.cpp.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/error_report.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-xop-mul32-ld32-x8.c:28:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-xop-mul32-ld32-x8.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:51:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 51 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-xop-mul32-ld32-x16.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-xop-mul32-ld32-x8.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-xop-mul32-ld32-x16.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3-acc2.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-xop-mul32-ld32-x16.c:28:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-xop-mul32-ld32-x16.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:52:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 52 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__xop_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/function_schema_parser.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-xop-mul32-ld32-x8.c:28:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-xop-mul32-ld32-x8.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:89:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 89 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/lexer.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-xop-mul32-ld32-x16.c:28:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-xop-mul32-ld32-x16.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:90:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 90 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__xop_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:478:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 478 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/schema_type_parser.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:477:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 477 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p32c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:480:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 480 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p32c-minmax-fma3.c.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/strtod.cpp.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:479:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 479 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p32c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p32c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p32c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:481:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 481 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p32c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p32c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:482:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 482 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p32c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/source_range.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:484:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 484 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Activation.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3.c.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/AdaptiveAveragePooling.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:483:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 483 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:486:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 486 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p32c-minmax-fma3-acc2.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p32c-minmax-fma3.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-9p8c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:485:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 485 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-9p8c-minmax-fma3.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-9p16c-minmax-fma3-acc2.c.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/AdaptiveAveragePooling3d.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-9p16c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p32c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p32c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:488:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 488 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p32c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p8c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:490:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 490 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p32c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p32c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:487:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 487 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p32c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/AdaptiveMaxPooling2d.cpp.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/AdaptiveMaxPooling3d.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-9p32c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p8c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:489:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 489 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-9p32c-minmax-fma3.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p8c-minmax-fma3-acc2.c.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/AffineGridGenerator.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p16c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:492:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 492 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p16c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:491:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 491 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p32c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p32c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:494:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 494 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p32c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p8c-minmax-fma3.c.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/AutogradComposite.cpp.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/AveragePool2d.cpp.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/AveragePool3d.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p32c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p32c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:493:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 493 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p32c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p8c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:496:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 496 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3-acc2.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p8c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:495:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 495 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3-acc2.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-ibilinear/gen/f16-ibilinear-fma3-c8.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-ibilinear/gen/f16-ibilinear-fma3-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:498:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 498 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:497:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 497 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:500:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 500 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p32c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:499:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 499 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p32c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/BatchLinearAlgebra.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vmulcaddc/gen/f16-vmulcaddc-c8-minmax-fma3-2x.c.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/BatchLinearAlgebraKernel.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vmulcaddc/gen/f16-vmulcaddc-c16-minmax-fma3-2x.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-fma3-acc2.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-fma3.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-fma3-acc2.c.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/BinaryOps.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vmulcaddc/gen/f16-vmulcaddc-c8-minmax-fma3-2x.c:27:39: warning: argument 8 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vmulcaddc/gen/f16-vmulcaddc-c8-minmax-fma3-2x.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:68:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 68 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:73:1: note: in expansion of macro ‘DECLARE_F16_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 73 | DECLARE_F16_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmulcaddc_minmax_ukernel_c8__fma3_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vmulcaddc/gen/f16-vmulcaddc-c16-minmax-fma3-2x.c:27:39: warning: argument 8 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vmulcaddc/gen/f16-vmulcaddc-c16-minmax-fma3-2x.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:68:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 68 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:74:1: note: in expansion of macro ‘DECLARE_F16_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 74 | DECLARE_F16_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmulcaddc_minmax_ukernel_c16__fma3_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Blas.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-fma3-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-fma3-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:90:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 90 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l8c8s4r__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-fma3-acc2.c.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/BlasKernel.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-fma3.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-fma3.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:89:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 89 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l8c8s4r__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-fma3-acc2.c.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Bucketization.cpp.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/CPUBlas.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-fma3.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-fma3.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:91:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 91 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l16c8s4r__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/CPUFallback.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-fma3-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-fma3-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:92:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 92 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l16c8s4r__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-fma3-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-fma3-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:94:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 94 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l32c8s4r__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-fma3.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-fma3.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:93:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 93 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l32c8s4r__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:166:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 166 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ChanelShuffle.cpp.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Col2Im.cpp.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ComparisonUtils.cpp.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Convolution.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-fma3-acc2.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:165:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 165 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3-acc2.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:178:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 178 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3-acc2.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:177:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 177 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:194:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 194 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:195:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 195 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3-acc2.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3.c.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ConvolutionMM2d.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3-acc2.c.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ConvolutionMM3d.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:207:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 207 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3.c.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ConvolutionTBC.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:206:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 206 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:238:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 238 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:237:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 237 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:225:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 225 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:226:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 226 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x8-minmax-fma3-broadcast.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16-minmax-fma3-broadcast.c.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Copy.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:255:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 255 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_u8.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x16-minmax-fma3-broadcast.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:254:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 254 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:267:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 267 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Correlation.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:266:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 266 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Cross.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x16-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:263:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 263 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16s4-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:272:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 272 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x16s4-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:273:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 273 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/DilatedMaxPool2d.cpp.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/DilatedMaxPool3d.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:262:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 262 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:261:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 261 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/DispatchStub.cpp.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Distance.cpp.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Distributions.cpp.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Dropout.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x16-minmax-fma3-broadcast.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x16s4-minmax-fma3-broadcast.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8-minmax-fma3-broadcast.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:265:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 265 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Embedding.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x16s4-minmax-fma3-broadcast.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-6x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:264:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 264 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16s4-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-7x8-minmax-fma3-broadcast.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:274:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 274 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/EmbeddingBag.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:266:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 266 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-8x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:267:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 267 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Fill.cpp.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ForeachOpsKernels.cpp.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/FractionalMaxPool2d.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16s4-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:275:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 275 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-6x8-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-6x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:268:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 268 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_6x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x8-minmax-fma3-broadcast.c.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/FractionalMaxPool3d.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-7x8-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-7x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:269:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 269 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_7x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x16-minmax-fma3-broadcast.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x16s4-minmax-fma3-broadcast.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x16-minmax-fma3-broadcast.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:567:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 567 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-8x8-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-8x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:270:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 270 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_8x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/FunctionOfAMatrixUtils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:568:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 568 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/GatedLinearUnit.cpp.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16s4-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:578:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 578 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/GridSampler.cpp.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x16-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:569:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 569 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x16s4-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:579:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 579 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:570:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 570 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Histogram.cpp.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:571:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 571 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x16-minmax-fma3-broadcast.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16s4-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:580:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 580 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-6x8-minmax-fma3-broadcast.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-7x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:572:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 572 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:573:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 573 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-8x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16s4-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:581:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 581 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-6x8-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-6x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:574:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 574 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_6x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Im2Col.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-7x8-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-7x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:575:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 575 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_7x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-8x8-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-8x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:576:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 576 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_8x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x16s4-minmax-fma3-broadcast.c.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/IndexingUtils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:175:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 175 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:176:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 176 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16s4-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:186:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 186 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8-minmax-fma3-broadcast.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x16-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:177:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 177 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Integration.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x16s4-minmax-fma3-broadcast.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x16s4-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:187:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 187 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Itertools.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:179:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 179 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/LegacyBatching.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:178:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 178 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16s4-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:188:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 188 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x16-minmax-fma3-broadcast.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:180:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 180 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-6x8-minmax-fma3-broadcast.c.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/LegacyBridge.cpp.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_i32.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-7x8-minmax-fma3-broadcast.c.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Lerp.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-8x8-minmax-fma3-broadcast.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-fma3-x8.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-fma3-x16.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:181:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 181 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Linear.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-7x8-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-7x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:183:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 183 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_7x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16s4-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:189:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 189 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-6x8-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-6x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:182:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 182 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_6x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-8x8-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-8x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:184:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 184 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_8x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-fma3-x8.c:22:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-fma3-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:510:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 510 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__fma3_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/LinearAlgebra.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x16.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x24.c.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Loss.cpp.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/LossCTC.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-fma3-x16.c:22:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-fma3-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:511:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 511 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__fma3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/LossMultiLabelMargin.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x8.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:767:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 767 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x40.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x24.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:769:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 769 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x16.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:768:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 768 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x32.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:770:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 770 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x56.c.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/LossMultiMargin.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x40.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:771:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 771 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x48.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:772:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 772 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/LossNLL.cpp.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/LossNLL2d.cpp.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/MaxPooling.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x64.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-fma3-nr1fma1adj.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-fma3-nr1fma.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x56.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:773:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 773 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/MaxUnpooling.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-fma3-nr2fma.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x64.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:774:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 774 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-1x8-minmax-avx2-broadcast.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-1x16-minmax-avx2-broadcast.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-3x16-minmax-avx2-broadcast.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-4x8-minmax-avx2-broadcast.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-4x16-minmax-avx2-broadcast.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-5x8-minmax-avx2-broadcast.c.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Memory.cpp.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/MetaTensor.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-1x8-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-1x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:100:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 100 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_1x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-1x16-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-1x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:101:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 101 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_1x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-5x16-minmax-avx2-broadcast.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-6x8-minmax-avx2-broadcast.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-7x8-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-3x16-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-3x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:102:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 102 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_3x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-4x8-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-4x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:103:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 103 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_4x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-1x8-minmax-avx2-broadcast.c.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/NNPACK.cpp.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/NaiveConvolutionTranspose2d.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-1x16-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-4x16-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-4x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:104:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 104 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_4x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-3x16-minmax-avx2-broadcast.c.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/NaiveConvolutionTranspose3d.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-4x8-minmax-avx2-broadcast.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-4x16-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-5x16-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-5x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:106:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 106 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_5x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-6x8-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-6x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:107:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 107 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_6x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-7x8-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-7x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:108:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 108 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_7x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-5x8-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-5x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:105:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 105 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_5x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/NaiveDilatedConvolution.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-5x8-minmax-avx2-broadcast.c.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/NamedTensor.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-5x16-minmax-avx2-broadcast.c.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/NegateFallback.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-1x16-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-1x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:413:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 413 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_1x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Normalization.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-4x8-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-4x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:415:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 415 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_4x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-1x8-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-1x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:412:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 412 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_1x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-4x16-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-4x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:416:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 416 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_4x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-6x8-minmax-avx2-broadcast.c.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Onehot.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-3x16-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-3x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:414:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 414 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_3x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/PackedSequence.cpp.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/PadNd.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-5x8-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-5x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:417:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 417 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_5x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-5x16-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-5x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:418:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 418 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_5x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-6x8-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-6x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:419:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 419 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_6x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-7x8-minmax-avx2-broadcast.c.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/PixelShuffle.cpp.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/PointwiseOps.cpp.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Pooling.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-avx2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-7x8-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-7x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:420:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 420 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_7x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Pow.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-pavgpool/f16-pavgpool-9x-minmax-avx2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-avx2-c8.c:26:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-avx2-c8.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:32:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 32 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:34:1: note: in expansion of macro ‘DECLARE_F16_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 34 | DECLARE_F16_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_pavgpool_minmax_ukernel_9p8x__avx2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32-acc2.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32-acc4.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32.c.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/QuantizedLinear.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-avx2-c8.c:25:39: warning: argument 11 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-avx2-c8.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:50:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 50 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:52:1: note: in expansion of macro ‘DECLARE_F16_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 52 | DECLARE_F16_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_pavgpool_minmax_ukernel_9x__avx2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40-acc2.c.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/RNN.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40-acc5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32-acc4.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32-acc4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:29:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 29 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x32_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:28:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 28 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x32_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/RangeFactories.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:27:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 27 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:31:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 31 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x40_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40-acc5.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40-acc5.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:32:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 32 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x40_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48-acc3.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:30:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 30 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:34:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 34 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x48_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ReduceAllOps.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48-acc3.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48-acc3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:35:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 35 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x48_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:33:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 33 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ReduceOps.cpp.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ReflectionPad.cpp.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_u8.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Repeat.cpp.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ReplicationPadding.cpp.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Resize.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:37:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 37 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x64_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x72-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64-acc4.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64-acc4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:38:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 38 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x64_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x72.c.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/RowwisePrune.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:36:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 36 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Scalar.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x72.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:39:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 39 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/SegmentReduce.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x72-acc3.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x72-acc3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:40:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 40 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x72_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80-acc2.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80-acc5.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80-acc5.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80-acc5.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:43:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 43 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x80_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:41:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 41 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:42:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 42 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x80_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc6.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-velu/gen/f16-velu-avx2-rr1-p3-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:45:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 45 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x96_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/SobolEngineOps.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-velu/gen/f16-velu-avx2-rr1-p3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc6.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc6.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:47:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 47 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x96_acc6) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc3.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:46:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 46 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x96_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/SobolEngineOpsUtils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:44:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 44 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/SoftMax.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x8.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Sorting.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x16.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-velu/gen/f16-velu-avx2-rr1-p3-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f16_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-velu/gen/f16-velu-avx2-rr1-p3-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:52:39: note: previously declared as ‘const union xnn_f16_elu_params *’ 52 | const union xnn_f16_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:57:1: note: in expansion of macro ‘DECLARE_F16_VELU_UKERNEL_FUNCTION’ 57 | DECLARE_F16_VELU_UKERNEL_FUNCTION(xnn_f16_velu_ukernel__avx2_rr1_p3_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/SpectralOps.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-velu/gen/f16-velu-avx2-rr1-p3-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f16_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-velu/gen/f16-velu-avx2-rr1-p3-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:52:39: note: previously declared as ‘const union xnn_f16_elu_params *’ 52 | const union xnn_f16_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:58:1: note: in expansion of macro ‘DECLARE_F16_VELU_UKERNEL_FUNCTION’ 58 | DECLARE_F16_VELU_UKERNEL_FUNCTION(xnn_f16_velu_ukernel__avx2_rr1_p3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x40.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x48.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x56.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:127:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 127 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:125:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 125 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:128:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 128 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x8.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/SummaryOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:126:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 126 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x16.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorAdvancedIndexing.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x40.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x40.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:129:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 129 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:130:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 130 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x56.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x56.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:131:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 131 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x24.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x32.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x40.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x48.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x56.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:132:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 132 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:134:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 134 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x64.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x16.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorCompare.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:137:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 137 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x40.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x40.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:138:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 138 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:139:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 139 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:135:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 135 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x56.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x56.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:140:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 140 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorConversions.cpp.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorFactories.cpp.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorIteratorReduce.cpp.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorProperties.cpp.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorShape.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:136:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 136 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorTransformations.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:190:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 190 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:141:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 141 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x48.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TestOps.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x64.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:191:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 191 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TriangularOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:192:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 192 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx2_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TypeProperties.cpp.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:193:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 193 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:258:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 258 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x48.c.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x64.c.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x64-acc2.c.o [ 68%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UnaryOps.cpp.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x64-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:259:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 259 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:261:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 261 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x64.c.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x72-acc3.c.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x72.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_i8.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x80-acc2.c.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x80-acc5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:260:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 260 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx2_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x80.c.o [ 68%] Building C object 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caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UpSampleNearest3d.cpp.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x96-acc3.c.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x96-acc6.c.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x96.c.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64-acc2.c.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64-acc4.c.o [ 68%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UpSampleTrilinear3d.cpp.o [ 68%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/VariableMethodStubs.cpp.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64.c.o [ 68%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/WeightNorm.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64-acc2.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:147:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 147 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x64_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x72-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64-acc4.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:148:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 148 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x64_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/group_norm.cpp.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x72.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x72-acc3.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x72-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:150:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 150 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x72_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:146:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 146 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x72.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x72.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:149:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 149 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80-acc2.c.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80-acc5.c.o [ 68%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/layer_norm.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80-acc2.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:152:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 152 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x80_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/prim_native_functions.cpp.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80.c.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80-acc5.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80-acc5.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:153:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 153 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x80_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc3.c.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc6.c.o [ 68%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/verbose_wrapper.cpp.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:151:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 151 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc2.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:155:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 155 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x96_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/library.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc3.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:156:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 156 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x96_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/quantized/cpu/fbgemm_utils.cpp.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/quantized/cpu/qlinear.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:346:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 346 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc6.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc6.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:157:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 157 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x96_acc6) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:154:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 154 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/quantized/cpu/qlinear_deserialize.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x32.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x40.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/quantized/cpu/qlinear_dynamic.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x48.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x56.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:347:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 347 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:348:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 348 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/quantized/cpu/qlinear_prepack.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x40.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:350:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 350 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x72.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_bf16.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x80.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x8.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/quantized/cpu/qlinear_serialize.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x32.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:349:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 349 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x64.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:353:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 353 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x48.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:351:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 351 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x56.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:352:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 352 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x24.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x32.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x80.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:355:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 355 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x72.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:354:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 354 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:357:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 357 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/quantized/cpu/qlinear_unpack.cpp.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/ParamUtils.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x56.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x32.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:360:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 360 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:358:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 358 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x40.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:361:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 361 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:359:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 359 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SoftMax.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x64.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseBinaryOpIntersectionKernel.cpp.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseBlas.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x72.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseBlasImpl.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x48.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:362:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 362 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x8.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseCsrTensor.cpp.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseCsrTensorMath.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x56.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:363:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 363 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x72.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:365:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 365 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x80.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:366:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 366 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x24.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseFactories.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:368:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 368 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseMatMul.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x64.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:364:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 364 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseTensor.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x40.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x48.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseTensorMath.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:369:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 369 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x56.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x64.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseUnaryOps.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x72.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x32.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:371:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 371 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x40.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:372:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 372 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x48.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:373:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 373 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x24.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:370:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 370 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/ValidateCompressedIndicesKernel.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x8.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorAliases.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x16.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x56.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:374:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 374 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorBackward.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x64.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:375:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 375 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x72.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:376:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 376 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x80.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:377:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 377 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x32.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorBinaryOps.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:381:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 381 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:380:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 380 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x48.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorFactories.cpp.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorMath.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:379:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 379 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x56.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorMatmul.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x40.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:383:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 383 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x32.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:382:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 382 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorTransformerFunctions.cpp.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorUnaryOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x48.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:384:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 384 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x72.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x56.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:385:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 385 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorUtils.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x64.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:386:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 386 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x8.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/AffineQuantizer.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x16.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/AffineQuantizerBase.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x72.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:387:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 387 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/Copy.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x80.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:388:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 388 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/FakeQuantPerChannelAffine.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x32.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/FakeQuantPerTensorAffine.cpp.o 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confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x96.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/ChannelShuffle.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:955:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 955 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x16.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x24.c.o [ 70%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/IntReprQuant.cpp.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x32.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:957:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 957 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x40.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:959:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 959 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x56.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:956:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 956 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:958:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 958 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/LinearUnpackImpl.cpp.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x72.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/MakePerTensorQuantizedTensor.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/Normalization.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x48.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:960:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 960 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x8.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/Pooling.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x56.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:961:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 961 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x64.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:962:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 962 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x72.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:963:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 963 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:966:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 966 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x24.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/ReduceOps.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/RuyUtils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x80.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:964:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 964 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/Sorting.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/TensorOperators.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:967:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 967 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/TensorShape.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/UpSampleBilinear2d.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/UpSampleNearest2d.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:968:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 968 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x32.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x40.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x40.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:970:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 970 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:969:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 969 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x56.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x48.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:971:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 971 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x72.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x80.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x72.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:974:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 974 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x80.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:975:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 975 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x56.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:972:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 972 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x64.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:973:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 973 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x16.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/UpSampleNearest3d.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/XnnpackUtils.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/fbgemm_utils.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/fused_obs_fake_quant.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:977:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 977 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/init_qnnpack.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:978:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 978 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:979:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 979 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qclamp.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:980:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 980 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x40.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qconv.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x48.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x56.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x64.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x72.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x48.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:982:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 982 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x40.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:981:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 981 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_f16.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx2-rr2-lut8-p3-perm.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qconv_dynamic.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qconv_prepack.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x56.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:983:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 983 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x64.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:984:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 984 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x72.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:985:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 985 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qconv_unpack_impl.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qdropout.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx2-rr2-lut8-p4-perm.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x80.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:986:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 986 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx2-rr2-p5.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f16-avx2-rr1-p3.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qelu.cpp.o [ 71%] 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caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkl/SpectralOps.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/BinaryOps.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr2-p5-nr2fma.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_u64.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-avx2-mul32.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Conv.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx2-mul32.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/ConvPrepack.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Copy.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:948:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 948 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1004:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1004 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Gelu.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:989:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 989 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul32.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:983:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 983 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/IDeepRegistration.cpp.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpmovsx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:986:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 986 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1005:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1005 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1006:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1006 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Linear.cpp.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/MKLDNNCommon.cpp.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpunpck.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:990:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 990 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:984:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 984 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/MKLDNNConversions.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:987:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 987 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1007:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1007 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Matmul.cpp.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/MkldnnTensorMath.cpp.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1081:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1081 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1060:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1060 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1066:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1066 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Normalization.cpp.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/OpContext.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1063:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1063 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul32.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx2-mul32.c.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Pooling.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1082:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1082 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1083:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1083 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul32.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x8c8-minmax-fp32-avx2.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x8c8-xw-minmax-fp32-avx2.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x8c8-minmax-fp32-avx2.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x8c8-xw-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1061:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1061 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1067:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1067 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1064:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1064 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Prelu.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1084:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1084 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1895:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1895 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x8c8-xw-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x8c8-xw-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1899:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1899 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_xw_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x8c8-minmax-fp32-avx2.c.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/RNN.cpp.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x8c8-xw-minmax-fp32-avx2.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1896:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1896 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x8c8-xw-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x8c8-xw-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1900:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1900 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_xw_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x8c8-minmax-fp32-avx2.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x8c8-minmax-fp32-avx2.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx2-mul32.c.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/RegisterMkldnnOpContextClass.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1897:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1897 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1564:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1564 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_i64.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Relu.cpp.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/SoftMax.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x8c8-xw-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x8c8-xw-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1901:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1901 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_xw_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:740:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 740 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1565:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1565 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/TensorFactories.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1566:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1566 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/TensorShape.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/UnaryOps.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:725:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 725 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul32.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Utils.cpp.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/transformers/attention.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:719:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 719 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:722:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 722 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx2-mul32.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/transformers/transformer.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:741:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 741 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpmovsx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:742:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 742 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpunpck.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/utils/Factory.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:726:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 726 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:720:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 720 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul32.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx2-mul32.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:723:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 723 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/Activation.cpp.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul32.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/AveragePooling.cpp.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:821:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 821 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:818:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 818 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:837:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 837 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:743:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 743 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:836:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 836 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:838:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 838 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:815:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 815 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/ChannelShuffle.cpp.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/Convolution.cpp.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul32.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x8.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:822:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 822 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:371:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 371 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/Init.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:816:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 816 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:372:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 372 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:839:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 839 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:819:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 819 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:373:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 373 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:374:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 374 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x8c8-minmax-fp32-avx2.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x8c8-xw-minmax-fp32-avx2.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x8c8-minmax-fp32-avx2.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/Linear.cpp.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x8c8-xw-minmax-fp32-avx2.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/MaxPooling.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1509:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1509 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x8c8-xw-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x8c8-xw-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1513:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1513 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x8c8-minmax-fp32-avx2.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/OpContext.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x8c8-xw-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x8c8-xw-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1514:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1514 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/RegisterOpContextClass.cpp.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/Shim.cpp.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/CompositeViewCopyKernels.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1510:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1510 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x8c8-xw-minmax-fp32-avx2.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1511:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1511 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x8c8-minmax-fp32-avx2.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Functions.cpp.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x8c8-xw-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x8c8-xw-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1515:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1515 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Operators_0.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1195:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1195 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Operators_1.cpp.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1197:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1197 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1196:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1196 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Operators_2.cpp.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Operators_3.cpp.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:153:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 153 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx2_mul32_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x24.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x32.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Operators_4.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:154:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 154 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:155:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 155 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx2_mul32_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x16.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x24.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterBackendSelect.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:156:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 156 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx2_mul32_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:208:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 208 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx2_mul32_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx2-x16.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterCPU.cpp.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:209:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 209 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx2-x64.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x16.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterCompositeExplicitAutograd.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:210:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 210 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx2_mul32_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x32.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_u32.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx2-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:324:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 324 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:211:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 211 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx2_mul32_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterCompositeImplicitAutograd.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx2-x64.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx2-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:326:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 326 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterCompositeImplicitAutogradNestedTensor.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:44:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 44 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx2-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:325:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 325 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:45:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 45 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterFunctionalization_0.cpp.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterFunctionalization_1.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x64.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:46:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 46 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx2-mul32.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:563:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 563 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:564:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 564 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:565:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 565 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:623:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 623 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterFunctionalization_2.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx2-mul32.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x8.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x16.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterFunctionalization_3.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:624:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 624 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:625:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 625 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:464:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 464 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:465:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 465 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterMeta.cpp.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterMkldnnCPU.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:466:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 466 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterNestedTensorCPU.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:467:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 467 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterNestedTensorMeta.cpp.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterQuantizedCPU.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x8c8-minmax-fp32-avx2.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x8c8-minmax-fp32-avx2.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x8c8-minmax-fp32-avx2.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:866:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 866 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x8c8-minmax-fp32-avx2.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x8c8-minmax-fp32-avx2.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:864:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 864 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:865:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 865 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-x16.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterQuantizedMeta.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:617:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 617 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterSchema.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-x8.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-x16.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:618:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 618 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:54:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 54 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx2_mul32_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:619:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 619 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx2-x32.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterSparseCPU.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:55:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 55 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x16.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:93:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 93 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx2-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:417:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 417 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:92:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 92 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx2_mul32_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx2-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:418:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 418 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx2-x64.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx2-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:419:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 419 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-x32.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterSparseCsrCPU.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-x64.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-x96.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterSparseMeta.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:99:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 99 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-32x32-reuse-mov-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:100:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 100 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterZeroTensor.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x32.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:47:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 47 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x64.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:101:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 101 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x128.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x128.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:50:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 50 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx2_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-32x32-reuse-switch-avx2.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/UfuncCPU_add.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-16x16-reuse-mov-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x96.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x96.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:49:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 49 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx2_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x64.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:48:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 48 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/ATenOpList.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-32x32-reuse-mov-avx2.c:28:41: warning: argument 7 of type ‘const union xnn_x8_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_x8_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-32x32-reuse-mov-avx2.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:212:44: note: previously declared as ‘const union xnn_x8_transpose_params *’ 212 | const union xnn_x8_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:236:1: note: in expansion of macro ‘DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION’ 236 | DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x8_transposec_ukernel__32x32_reuse_mov_avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-16x16-reuse-switch-avx2.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/TensorMethods.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-32x32-reuse-switch-avx2.c:28:41: warning: argument 7 of type ‘const union xnn_x8_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_x8_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-32x32-reuse-switch-avx2.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:212:44: note: previously declared as ‘const union xnn_x8_transpose_params *’ 212 | const union xnn_x8_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:237:1: note: in expansion of macro ‘DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION’ 237 | DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x8_transposec_ukernel__32x32_reuse_switch_avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-16x16-reuse-mov-avx2.c:28:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-16x16-reuse-mov-avx2.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:201:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 201 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__16x16_reuse_mov_avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c16s4r-minmax-avx512f-acc2.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c16s4r-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-16x16-reuse-switch-avx2.c:28:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-16x16-reuse-switch-avx2.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:202:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 202 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__16x16_reuse_switch_avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c16s4r-minmax-avx512f-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c16s4r-minmax-avx512f-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:97:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 97 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l16c16s4r__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c16s4r-minmax-avx512f-acc2.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/quantized/QTensorImpl.cpp.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/quantized/Quantizer.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c16s4r-minmax-avx512f.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l64c16s4r-minmax-avx512f-acc2.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l64c16s4r-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c16s4r-minmax-avx512f.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c16s4r-minmax-avx512f.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:96:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 96 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l16c16s4r__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f-acc2.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/nnapi/nnapi_bind.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c16s4r-minmax-avx512f-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c16s4r-minmax-avx512f-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:99:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 99 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l32c16s4r__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p32c-minmax-avx512f-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l64c16s4r-minmax-avx512f-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l64c16s4r-minmax-avx512f-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:101:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 101 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l64c16s4r__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_i32.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p32c-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l64c16s4r-minmax-avx512f.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l64c16s4r-minmax-avx512f.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:100:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 100 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l64c16s4r__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx512f-acc2.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/nnapi/nnapi_model_loader.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c16s4r-minmax-avx512f.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c16s4r-minmax-avx512f.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:98:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 98 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l32c16s4r__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:176:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 176 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p32c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p32c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:184:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 184 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p32c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:175:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 175 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/nnapi/nnapi_register.cpp.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/nnapi/nnapi_wrapper.cpp.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/UfuncCPUKernel_add.cpp.DEFAULT.cpp.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/kernels/QuantizedOpKernels.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p32c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p32c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:183:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 183 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p32c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/spherical_bessel_j0.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:205:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 205 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:204:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 204 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f-acc2.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/scaled_modified_bessel_k1.cpp.DEFAULT.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx512f-acc2.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:213:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 213 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p32c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:212:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 212 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p32c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/scaled_modified_bessel_k0.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:236:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 236 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f-acc2.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/layer_norm_kernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:235:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 235 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:244:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 244 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p32c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx512f-acc2.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx512f.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p32c-minmax-avx512f-acc2.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/group_norm_kernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:243:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 243 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p32c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/batch_norm_kernel.cpp.DEFAULT.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p32c-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p32c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p32c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:273:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 273 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p32c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:265:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 265 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:264:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 264 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/airy_ai.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p32c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p32c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:272:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 272 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p32c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x16-minmax-avx512f-broadcast.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x16-minmax-avx512f-broadcast.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/WeightNormKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx512f-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:277:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 277 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UpSampleMoreKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16-minmax-avx512f-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:279:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 279 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UpSampleKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16-minmax-avx512f-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:278:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 278 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-6x16-minmax-avx512f-broadcast.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-7x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-6x16-minmax-avx512f-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-6x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:280:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 280 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_6x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UnfoldBackwardKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-7x16-minmax-avx512f-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-7x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:281:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 281 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_7x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-8x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-8x16-minmax-avx512f-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-8x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:282:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 282 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_8x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/Unfold2d.cpp.DEFAULT.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp.o [ 75%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x16-minmax-avx512f-broadcast.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x16-minmax-avx512f-broadcast.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16-minmax-avx512f-broadcast.c:29:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:583:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 583 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/TensorCompareKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16-minmax-avx512f-broadcast.c:29:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:584:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 584 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-6x16-minmax-avx512f-broadcast.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-7x16-minmax-avx512f-broadcast.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-8x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16-minmax-avx512f-broadcast.c:29:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:585:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 585 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx512f-broadcast.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx512f-broadcast.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-6x16-minmax-avx512f-broadcast.c:29:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-6x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:586:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 586 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_6x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_u8.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-6x16-minmax-avx512f-broadcast.c.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SumKernel.cpp.DEFAULT.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/StackKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-8x16-minmax-avx512f-broadcast.c:29:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-8x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:588:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 588 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_8x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-7x16-minmax-avx512f-broadcast.c:29:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-7x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:587:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 587 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_7x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SpmmReduceKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx512f-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:191:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 191 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SparseFactories.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx512f-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:192:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 192 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-7x16-minmax-avx512f-broadcast.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-8x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx512f-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:193:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 193 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-avx512f-2x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-6x16-minmax-avx512f-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-6x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:194:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 194 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_6x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-avx512f-2x32.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x128-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-8x16-minmax-avx512f-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-8x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:196:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 196 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_8x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SoftMaxKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-7x16-minmax-avx512f-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-7x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:195:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 195 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_7x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ScatterGatherKernel.cpp.DEFAULT.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SampledAddmmKernel.cpp.DEFAULT.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x128-acc4.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x128.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x144-acc3.c.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/RenormKernel.cpp.DEFAULT.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x144.c.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.DEFAULT.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x160-acc2.c.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ReduceAllOpsKernel.cpp.DEFAULT.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x160-acc5.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x160.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x192-acc2.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x192-acc3.c.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/RangeFactoriesKernel.cpp.DEFAULT.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PowKernel.cpp.DEFAULT.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x192-acc6.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x192.c.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PointwiseOpsKernel.cpp.DEFAULT.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x128-acc2.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x128-acc4.c.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PixelShuffleKernel.cpp.DEFAULT.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x128.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x144-acc3.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x144.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x160-acc2.c.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MultinomialKernel.cpp.DEFAULT.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxUnpoolKernel.cpp.DEFAULT.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x160-acc5.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x160.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x192-acc2.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x192-acc3.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x192-acc6.c.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxPooling.cpp.DEFAULT.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x192.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128-acc2.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128-acc4.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_i8.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x144-acc3.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x144.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128-acc4.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128-acc4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:161:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 161 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x128_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:160:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 160 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x128_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160-acc2.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160-acc5.c.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxPoolKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x144-acc3.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x144-acc3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:163:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 163 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x144_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:159:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 159 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x144.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x144.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:162:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 162 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x144) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc2.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160-acc5.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160-acc5.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:166:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 166 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x160_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:165:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 165 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x160_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/LinearAlgebraKernel.cpp.DEFAULT.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc6.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc3.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:169:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 169 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x192_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:164:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 164 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x160) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:168:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 168 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x192_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/LerpKernel.cpp.DEFAULT.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/IndexKernel.cpp.DEFAULT.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/HistogramKernel.cpp.DEFAULT.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc6.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc6.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:170:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 170 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x192_acc6) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/GridSamplerKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:167:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 167 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x192) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-rmax/f32-rmax-avx512f.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-x16.c.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/FunctionOfAMatrixUtilsKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:330:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 330 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/FillKernel.cpp.DEFAULT.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:331:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 331 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-x16.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-x32.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:533:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 533 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:532:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 532 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-x32.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-x16.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:353:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 353 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:354:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 354 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:555:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 555 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-avx512f-x32.c.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DistributionKernels.cpp.DEFAULT.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:556:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 556 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-avx512f-x32.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx512f-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:188:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 188 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-avx512f-x32.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx512f-x32.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:189:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 189 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx512f-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:470:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 470 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-avx512f-x32.c.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp.DEFAULT.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx512f-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:493:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 493 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx512f-x32.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:212:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 212 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx512f-x32.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:471:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 471 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-avx512f-x32.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-avx512f-x16.c.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DepthwiseConvKernel.cpp.DEFAULT.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx512f-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:211:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 211 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-x16.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:376:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 376 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx512f-x32.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:494:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 494 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CrossKernel.cpp.DEFAULT.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:601:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 601 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:377:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 377 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:602:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 602 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-avx512f-x32.c.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CopyKernel.cpp.DEFAULT.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-avx512f-x16.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:579:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 579 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:578:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 578 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ComplexKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:647:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 647 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ChannelShuffleKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:648:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 648 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx512f-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:234:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 234 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CatKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx512f-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:516:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 516 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/BlasKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx512f-x32.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:235:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 235 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-avx512f-x32.c.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx512f-x32.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:517:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 517 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:399:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 399 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:400:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 400 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-x16.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-x32.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_f64.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:624:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 624 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:625:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 625 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AvgPoolKernel.cpp.DEFAULT.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx512f-x16.c:23:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:244:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 244 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx512f-x32.c:23:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:245:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 245 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x32.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:391:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 391 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:390:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 390 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AdaptiveMaxPoolKernel.cpp.DEFAULT.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x48.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x64.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x48.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:392:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 392 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AdaptiveAvgPoolKernel.cpp.DEFAULT.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x64.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:393:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 393 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/Activation.cpp.DEFAULT.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/vulkan/Context.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x80.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:394:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 394 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x112.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x96.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:395:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 395 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x112.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:396:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 396 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x16.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x128.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:397:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 397 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/metal/Context.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:399:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 399 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x64.c.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/core/common.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x32.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:400:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 400 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x48.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:401:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 401 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x80.c.o [ 77%] Building C object caffe2/CMakeFiles/torch_cpu.dir/__/third_party/miniz-2.1.0/miniz.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x64.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:402:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 402 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/miniz-2.1.0/miniz.c:3157:9: note: ‘#pragma message: Using fopen, ftello, fseeko, stat() etc. path for file I/O - this path may not support large files.’ 3157 | #pragma message("Using fopen, ftello, fseeko, stat() etc. path for file I/O - this path may not support large files.") | ^~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x112.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x80.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:403:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 403 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-avx512f-x16.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x96.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:404:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 404 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x112.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:405:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 405 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-avx512f-x16.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x128.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:406:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 406 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/serialize/inline_container.cc.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx512f-x32.c:23:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:514:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 514 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx512f-x16.c:23:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:513:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 513 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/serialize/istream_adapter.cc.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx512f-x32.c:23:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:567:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 567 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx512f-x16.c:23:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:566:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 566 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-avx512f-x32.c.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/serialize/file_adapter.cc.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx512f-x16.c:23:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx512f-x16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:627:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 627 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx512f-x32.c.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/serialize/crc.cc.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx512f-x32.c:23:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx512f-x32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:628:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 628 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx512f-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx512f-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:712:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 712 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx512f-x32.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx512f-x32.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:713:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 713 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/serialize/read_adapter_interface.cc.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/utils/string_utils.cc.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/utils/threadpool/ThreadPool.cc.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/utils/threadpool/pthreadpool-cpp.cc.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/utils/threadpool/thread_pool_guard.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx512f-x32.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx512f-x16.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx512f-x32.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:659:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 659 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx512f-x32.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx512f-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx512f-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:694:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 694 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx512f-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx512f-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:658:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 658 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/utils/proto_wrap.cc.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/LlgaTensorImpl.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx512f-x32.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx512f-x32.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:695:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 695 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/graph_fuser.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x32.c.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/graph_rewriter.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx512f-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx512f-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:676:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 676 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x48.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx512f-x32.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx512f-x32.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:677:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 677 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x80.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x96.c.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/graph_helper.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x112.c.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/register_interface.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x128.c.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/decompose_silu.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x144.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x160.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x176.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_f32.o [ 77%] Building C object 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confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x160.c.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x176.c.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x192.c.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/prepare_binary.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x16.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x32.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x48.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1007:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1007 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/guard_shape.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/Functions.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1008:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1008 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/VariableType_0.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x80.c.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/VariableType_1.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1009:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1009 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1006:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1006 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x96.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x112.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x80.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1010:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1010 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/VariableType_2.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1011:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1011 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x112.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1012:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1012 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x16.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x32.c.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/VariableType_3.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1013:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1013 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1016:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1016 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1015:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1015 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/VariableType_4.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x48.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x64.c.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/TraceType_0.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1018:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1018 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1017:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1017 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x96.c.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/TraceType_1.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x80.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1019:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1019 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/TraceType_2.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1020:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1020 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x112.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x128.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x16.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x112.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1021:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1021 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1022:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1022 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:988:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 988 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:989:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 989 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x64.c.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/TraceType_3.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x80.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:992:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 992 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:990:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 990 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/TraceType_4.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:991:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 991 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/ADInplaceOrViewType_0.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:993:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 993 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x112.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x112.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:994:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 994 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:995:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 995 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:997:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 997 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:998:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 998 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x64.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_f16.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/ADInplaceOrViewType_1.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:999:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 999 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/generated/LazyNativeFunctions.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1000:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1000 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x80.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1001:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1001 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x96.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x112.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1002:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1002 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x112.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1003:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1003 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x128.c.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/generated/RegisterAutogradLazy.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1004:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1004 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x16.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1024:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1024 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/generated/RegisterLazy.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1025:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1025 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1026:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1026 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x80.c.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/anomaly_mode.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1027:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1027 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x80.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1028:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1028 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x112.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1029:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1029 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x112.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1030:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1030 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/autograd.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1031:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1031 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1033:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1033 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1034:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1034 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/autograd_meta.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1035:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1035 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1036:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1036 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x80.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1037:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1037 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1038:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1038 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x112.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x112.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1039:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1039 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x128.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x16.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1040:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1040 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/autograd_not_implemented_fallback.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x16.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:776:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 776 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x48.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_u64.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x32.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:777:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 777 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x48.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:778:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 778 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x64.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:779:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 779 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/cpp_hook.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x80.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:780:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 780 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x96.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:781:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 781 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x112.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x128.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:783:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 783 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x112.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:782:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 782 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-avx512f-x16.c.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/custom_function.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx512f-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:224:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 224 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/engine.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx512f-x32.c:23:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:225:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 225 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx512f-x16.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx512f-x32.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx512f-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:607:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 607 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/forward_grad.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx512f-x32.c:23:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:608:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 608 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/function.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx512f-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1113:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1113 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx512f-rr2-lut16-p3-perm-scalef.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx512f-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1114:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1114 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/functions/accumulate_grad.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx512f-rr2-lut16-p3-perm.c.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/functions/basic_ops.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx512f-rr2-lut32-p2-perm2-scalef.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx512f-rr2-lut32-p2-perm2.c.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/functions/tensor.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/codegen/onednn/interface.cpp: In function ‘torch::jit::Operation torch::jit::createLlgaKernel(const Node*)’: /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/codegen/onednn/interface.cpp:102:10: warning: ‘torch::jit::Operation::Operation(F&&) [with F = torch::jit::createLlgaKernel(const Node*)::; typename std::enable_if*)>, F&&>::value, int>::type = 0]’ is deprecated: Please use void(Stack&) to register operator instead. [-Wdeprecated-declarations] 102 | return [kernel](Stack* stack) { | ^~~~~~~~~~~~~~~~~~~~~~~~ 103 | RECORD_FUNCTION(kernel->debugName(), std::vector()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 104 | kernel->run(*stack); | ~~~~~~~~~~~~~~~~~~~~ 105 | return 0; | ~~~~~~~~~ 106 | }; | ~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/boxing/KernelFunction.h:5, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/dispatch/Dispatcher.h:4, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/runtime/operator.h:6, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/ir/ir.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/codegen/onednn/decompose_silu.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/codegen/onednn/interface.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/stack.h:25:3: note: declared here 25 | Operation(F&& raw): op_([raw = std::forward(raw)](Stack& stack) { | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/codegen/onednn/interface.cpp: In function ‘torch::jit::Operation torch::jit::createLlgaGuardKernel(const Node*)’: /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/codegen/onednn/interface.cpp:121:10: warning: ‘torch::jit::Operation::Operation(F&&) [with F = torch::jit::createLlgaGuardKernel(const Node*)::; typename std::enable_if*)>, F&&>::value, int>::type = 0]’ is deprecated: Please use void(Stack&) to register operator instead. [-Wdeprecated-declarations] 121 | return [node](Stack* stack) { | ^~~~~~~~~~~~~~~~~~~~~~ 122 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 123 | GRAPH_DEBUG("Guarding node: ", node->kind().toQualString()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 124 | #endif | ~~~~~~ 125 | std::vector types = node->tys(attr::types); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 126 | const auto num_inputs = types.size(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 127 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 128 | GRAPH_DEBUG("num_inputs to guard: ", num_inputs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 129 | #endif | ~~~~~~ 130 | for (size_t i = 0; i < num_inputs; i++) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 131 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 132 | GRAPH_DEBUG("checking input ", i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 133 | #endif | ~~~~~~ 134 | auto& input = peek(stack, i, num_inputs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 135 | const c10::TensorTypePtr& guard_tensor_type = | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 136 | types[i]->cast(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 137 | | 138 | if (!input.isTensor()) { | ~~~~~~~~~~~~~~~~~~~~~~~~ 139 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 140 | GRAPH_DEBUG("input ", i, " is not a tensor, return false"); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 141 | #endif | ~~~~~~ 142 | push(stack, IValue(false)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 143 | return; | ~~~~~~~ 144 | } | ~ 145 | const at::Tensor& tensor = input.toTensor(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 146 | | 147 | // If input tensor is of mkldnn, it's originated from an upstream | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 148 | // LLGA partition that has passed the check on input shapes. | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 149 | // It is valid to continue here as long as the output shapes from | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 150 | // oneDNN graph partitions are determined by the input shapes. | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 151 | if (tensor.is_mkldnn()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~ 152 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 153 | GRAPH_DEBUG("input ", i, " is_mkldnn, continue"); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 154 | #endif | ~~~~~~ 155 | continue; | ~~~~~~~~~ 156 | } | ~ 157 | | 158 | if (!guard_tensor_type->matchTensor(tensor)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 159 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | GRAPH_DEBUG("input ", i, " check failed, return false"); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | #endif | ~~~~~~ 162 | push(stack, IValue(false)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 163 | return; | ~~~~~~~ 164 | } | ~ 165 | } | ~ 166 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 167 | GRAPH_DEBUG("all check done, return true"); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 168 | #endif | ~~~~~~ 169 | push(stack, IValue(true)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 170 | return; | ~~~~~~~ 171 | }; | ~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/stack.h:25:3: note: declared here 25 | Operation(F&& raw): op_([raw = std::forward(raw)](Stack& stack) { | ^~~~~~~~~ [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/functions/utils.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx512f-rr2-p5-scalef.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx512f-rr2-p5.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-avx512f-rr1-lut16-p3-perm.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-avx512f-rr1-p6.c.o 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sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_i64.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma1adj.c.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/saved_variable.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/utils/warnings.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx512f-rr2-lut64-p2-gather-scalef-div.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx512f-rr2-lut64-p2-gather-scalef-nr1fma1adj.c.o [ 80%] Building C object 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caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/api/object.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-avx512f-nr1fma.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-avx512f-nr2fma.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-x16.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:72:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 72 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx512skx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/backends/backend_debug_handler.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:73:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 73 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-x16.c.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/backends/backend_debug_info.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:134:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 134 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx512skx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/backends/backend_detail.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-x32.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:135:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 135 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:195:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 195 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/backends/backend_interface.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x64.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:196:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 196 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx512skx_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:197:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 197 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx512skx_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:198:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 198 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx512skx_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:263:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 263 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x96.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:264:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 264 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx512skx_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/backends/backend_resolver.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:266:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 266 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx512skx_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:265:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 265 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx512skx_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/fuser/codegen.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p32c-minmax-fp32-avx512skx-mul32.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:950:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 950 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/fuser/compiler.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1009:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1009 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1010:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1010 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1086:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1086 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x16c8-minmax-fp32-avx512skx.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1087:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1087 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1903:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1903 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1904:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1904 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/fuser/executor.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1905:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1905 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/fuser/fallback.cpp.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_u32.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/fuser/interface.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1906:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1906 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x16c8-minmax-fp32-avx512skx.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x16c8-minmax-fp32-avx512skx.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1568:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1568 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1569:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1569 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/fuser/kernel_cache.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/builtin_functions.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1570:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1570 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1571:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1571 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:745:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 745 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:746:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 746 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/canonicalize_modified_loop.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:841:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 841 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:842:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 842 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x32.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x48.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:376:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 376 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx512skx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:377:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 377 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/convert_to_ssa.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x16c8-minmax-fp32-avx512skx.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x64.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:379:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 379 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx512skx_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x48.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:378:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 378 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx512skx_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1519:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1519 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1517:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1517 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1518:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1518 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/edit_distance.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x16c8-minmax-fp32-avx512skx.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1520:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1520 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/exit_transforms.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1200:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1200 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1199:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1199 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx512skx-mul32-ld128-x16.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx512skx-mul32-ld128-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1201:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1201 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1202:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1202 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/inline_loop_condition.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx512skx-mul32-ld128-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx512skx-mul32-ld128-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:159:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 159 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx512skx_mul32_ld128_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx512skx-mul32-ld128-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx512skx-mul32-ld128-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:158:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 158 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx512skx-mul32-ld128-x16.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx512skx-mul32-ld128-x32.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx512skx-mul32-ld128-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx512skx-mul32-ld128-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:214:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 214 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx512skx_mul32_ld128_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx512skx-mul32-ld128-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx512skx-mul32-ld128-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:213:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 213 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:567:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 567 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/ir_emitter.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/name_mangler.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:568:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 568 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:627:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 627 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/parser.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:628:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 628 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:469:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 469 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx512skx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/schema_matching.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x32.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x48.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x64.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:470:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 470 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x48.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:471:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 471 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx512skx_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/script_type_parser.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x64.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:472:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 472 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx512skx_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:868:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 868 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x16c8-minmax-fp32-avx512skx.c.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/sugared_value.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:869:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 869 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/tracer.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:870:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 870 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/versioned_symbols.cpp.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:871:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 871 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/alias_analysis.cpp.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_i32.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/attributes.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:621:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 621 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x16c8-minmax-fp32-avx512skx.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_data.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/core/tensor.h:5, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/generated/LazyNativeFunctions.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h: In function ‘c10::optional torch::lazy::GetBackendDevice(const T&, const Args& ...) [with T = c10::optional; Args = {}]’: /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h:89:30: warning: infinite recursion detected [-Winfinite-recursion] 89 | c10::optional GetBackendDevice( | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h:92:8: note: recursive call 92 | auto optional_device = GetBackendDevice(tensor); | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h: In function ‘c10::optional torch::lazy::GetBackendDevice(const T&, const Args& ...) [with T = c10::optional; Args = {}]’: /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h:89:30: warning: infinite recursion detected [-Winfinite-recursion] 89 | c10::optional GetBackendDevice( | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h:92:8: note: recursive call 92 | auto optional_device = GetBackendDevice(tensor); | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:622:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 622 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h: In function ‘c10::optional torch::lazy::GetBackendDevice(const T&, const Args& ...) [with T = c10::SymInt; Args = {}]’: /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h:89:30: warning: infinite recursion detected [-Winfinite-recursion] 89 | c10::optional GetBackendDevice( | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h:92:8: note: recursive call 92 | auto optional_device = GetBackendDevice(tensor); | ^~~~~~~~~~~~~~~ [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:623:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 623 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx512skx-mul32-ld128-x16.c.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx512skx-mul32-ld128-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:624:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 624 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx512skx-mul32-ld128-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx512skx-mul32-ld128-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:57:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 57 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx512skx-mul32-ld128-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx512skx-mul32-ld128-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:58:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 58 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx512skx_mul32_ld128_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-x32.c.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x64.c.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:95:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 95 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x192.c.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x256.c.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:96:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 96 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx512skx_mul32_ld128_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x128.c.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x192.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x128.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x128.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:53:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 53 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512skx_vpshufb_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x64.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:52:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 52 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512skx_vpshufb_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/constants.cpp.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x256.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x192.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x192.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:54:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 54 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512skx_vpshufb_x192) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x256.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x256.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:55:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 55 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512skx_vpshufb_x256) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x64.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:57:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 57 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512vbmi_vpermx2b_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/graph_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x128.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x128.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:58:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 58 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512vbmi_vpermx2b_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x192.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x192.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:59:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 59 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512vbmi_vpermx2b_x192) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2-k-over-64.c.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2-k-over-2048.c.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/ir.cpp.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x256.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x256.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:60:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 60 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512vbmi_vpermx2b_x256) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/irparser.cpp.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-8.c.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/node_hashing.cpp.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-16.c.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/scope.cpp.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-64.c.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/subgraph_matcher.cpp.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-2048.c.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/type_hashing.cpp.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/vlog.c.o [ 82%] Built target microkernels-all [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/jit_log.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/jit_opt_limit.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/compatibility/model_compatibility.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/compatibility/runtime_compatibility.cpp.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_i8.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/flatbuffer_loader.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/function.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/import.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/interpreter.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/module.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/nnc/aot_compiler.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/nnc/backend.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/nnc/context.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/RegisterSchema.cpp:3: /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/RegisterSchema.cpp: In function ‘void at::TORCH_LIBRARY_init_aten(torch::Library&)’: /builddir/build/BUILD/pytorch-v2.0.1/torch/library.h:891:8: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 891 | void TORCH_LIBRARY_init_##ns(torch::Library& m) | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/RegisterSchema.cpp:6:1: note: in expansion of macro ‘TORCH_LIBRARY’ 6 | TORCH_LIBRARY(aten, m) { | ^~~~~~~~~~~~~ [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/nnc/registry.cpp.o [ 82%] Building CXX object 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caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/StackKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SpmmReduceKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SparseFactories.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SoftMaxKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ScatterGatherKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SampledAddmmKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/RenormKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ReduceAllOpsKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/RangeFactoriesKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PowKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PointwiseOpsKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PixelShuffleKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxUnpoolKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MultinomialKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxPoolKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxPooling.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/LinearAlgebraKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/LerpKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/IndexKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/HistogramKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/GridSamplerKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/FunctionOfAMatrixUtilsKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/FillKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DistributionKernels.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DepthwiseConvKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CrossKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ComplexKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ChannelShuffleKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CatKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/BlasKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AvgPoolKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AdaptiveMaxPoolKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AdaptiveAvgPoolKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/Activation.cpp.AVX512.cpp.o [ 90%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_bcube.cc.o [ 90%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_local.cc.o [ 90%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_halving_doubling.cc.o [ 90%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_ring.cc.o [ 90%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_ring_chunked.cc.o [ 90%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_broadcast_one_to_all.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:155:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 34 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:155:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:70:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 34 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:71:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:72:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:73:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:74:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:75:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:76:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:77:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = signed char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:155:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:196:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 40 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:196:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:197:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:197:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:155:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:198:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:198:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = unsigned char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:199:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:199:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:155:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:200:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:200:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:155:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:201:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:201:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:202:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:202:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:203:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:203:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = signed char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:70:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 374 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = unsigned char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:71:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:72:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:73:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:74:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:75:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = double; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:76:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float16; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:77:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:70:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:70:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = signed char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:71:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:71:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:72:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:72:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:73:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:73:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:74:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:74:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:75:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:75:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:76:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:76:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:77:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:77:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:70:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 25 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:71:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = unsigned char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:72:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:73:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:74:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = double; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:75:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:76:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:77:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:196:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:197:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:198:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:199:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:200:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:201:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:202:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:203:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:196:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 25 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:197:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:198:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:199:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:200:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:201:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:202:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float16; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:203:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = signed char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = unsigned char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = double; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float16; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = double; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 25 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float16; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 25 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 25 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 25 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here 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caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/ActivationSoftplusKernel.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/ActivationSoftshrinkKernel.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/ActivationThresholdKernel.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/AdaptiveAveragePooling.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/AdaptiveAveragePooling3d.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/AdaptiveMaxPooling2d.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/AdaptiveMaxPooling3d.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/AmpKernels.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/AveragePool2d.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/AveragePool3d.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/BinaryDivFloorKernel.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/BinaryBitwiseOpsKernels.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/BinaryDivTrueKernel.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/BinaryDivTruncKernel.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/BinaryGeometricKernels.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/BinaryLogicalOpsKernels.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/BinaryMiscBackwardOpsKernels.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/BinaryMiscOpsKernels.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/BinaryMulKernel.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/BinaryRemainderKernel.cu.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/CUDASparseDescriptors.cpp:4: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/CUDASparseDescriptors.h:104:46: warning: ‘cusparseStatus_t cusparseDestroyBsrsv2Info(bsrsv2Info_t)’ is deprecated: The routine will be removed in the next major release [-Wdeprecated-declarations] 104 | : public CuSparseDescriptor { | ^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/CUDAContext.h:6, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/CUDASparseDescriptors.cpp:1: /usr/local/cuda/include/cusparse.h:470:1: note: declared here 470 | cusparseDestroyBsrsv2Info(bsrsv2Info_t info); | ^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/CUDASparseDescriptors.h: In constructor ‘at::cuda::sparse::CuSparseBsrsv2Info::CuSparseBsrsv2Info()’: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/CUDASparseDescriptors.h:107:18: warning: ‘bsrsv2Info_t’ is deprecated: The type will be removed in the next major release [-Wdeprecated-declarations] 107 | bsrsv2Info_t raw_descriptor; | ^~~~~~~~~~~~~~ /usr/local/cuda/include/cusparse.h:222:20: note: declared here 222 | struct bsrsv2Info* bsrsv2Info_t CUSPARSE_DEPRECATED_TYPE; | ^~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/CUDAContext.h:17: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/CUDASparseDescriptors.h:108:52: warning: ‘cusparseStatus_t cusparseCreateBsrsv2Info(bsrsv2Info**)’ is deprecated: The routine will be removed in the next major release [-Wdeprecated-declarations] 108 | TORCH_CUDASPARSE_CHECK(cusparseCreateBsrsv2Info(&raw_descriptor)); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/Exceptions.h:60:30: note: in definition of macro ‘TORCH_CUDASPARSE_CHECK’ 60 | cusparseStatus_t __err = EXPR; \ | ^~~~ /usr/local/cuda/include/cusparse.h:466:1: note: declared here 466 | cusparseCreateBsrsv2Info(bsrsv2Info_t* info); | ^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/CUDASparseDescriptors.h: At global scope: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/CUDASparseDescriptors.h:114:46: warning: ‘cusparseStatus_t cusparseDestroyBsrsm2Info(bsrsm2Info_t)’ is deprecated: The routine will be removed in the next major release [-Wdeprecated-declarations] 114 | : public CuSparseDescriptor { | ^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/cuda/include/cusparse.h:478:1: note: declared here 478 | cusparseDestroyBsrsm2Info(bsrsm2Info_t info); | ^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/CUDASparseDescriptors.h: In constructor ‘at::cuda::sparse::CuSparseBsrsm2Info::CuSparseBsrsm2Info()’: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/CUDASparseDescriptors.h:117:18: warning: ‘bsrsm2Info_t’ is deprecated: The type will be removed in the next major release [-Wdeprecated-declarations] 117 | bsrsm2Info_t raw_descriptor; | ^~~~~~~~~~~~~~ /usr/local/cuda/include/cusparse.h:226:20: note: declared here 226 | struct bsrsm2Info* bsrsm2Info_t CUSPARSE_DEPRECATED_TYPE; | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/CUDASparseDescriptors.h:118:52: warning: ‘cusparseStatus_t cusparseCreateBsrsm2Info(bsrsm2Info**)’ is deprecated: The routine will be removed in the next major release [-Wdeprecated-declarations] 118 | TORCH_CUDASPARSE_CHECK(cusparseCreateBsrsm2Info(&raw_descriptor)); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/Exceptions.h:60:30: note: in definition of macro ‘TORCH_CUDASPARSE_CHECK’ 60 | cusparseStatus_t __err = EXPR; \ | ^~~~ /usr/local/cuda/include/cusparse.h:474:1: note: declared here 474 | cusparseCreateBsrsm2Info(bsrsm2Info_t* info); | ^~~~~~~~~~~~~~~~~~~~~~~~ [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/BinaryShiftOpsKernels.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/Bucketization.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/CUDAScalar.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/Col2Im.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/CompareEQKernel.cu.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/CUDASparseDescriptors.h: In instantiation of ‘void at::cuda::sparse::CuSparseDescriptorDeleter::operator()(T*) [with T = bsrsv2Info; cusparseStatus_t (* destructor)(T*) = cusparseDestroyBsrsv2Info]’: /usr/include/c++/12/bits/unique_ptr.h:396:17: required from ‘std::unique_ptr<_Tp, _Dp>::~unique_ptr() [with _Tp = bsrsv2Info; _Dp = at::cuda::sparse::CuSparseDescriptorDeleter]’ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/CUDASparseDescriptors.h:27:7: required from here /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/CUDASparseDescriptors.h:21:40: warning: ‘cusparseStatus_t cusparseDestroyBsrsv2Info(bsrsv2Info_t)’ is deprecated: The routine will be removed in the next major release [-Wdeprecated-declarations] 21 | TORCH_CUDASPARSE_CHECK(destructor(x)); | ~~~~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/Exceptions.h:60:30: note: in definition of macro ‘TORCH_CUDASPARSE_CHECK’ 60 | cusparseStatus_t __err = EXPR; \ | ^~~~ /usr/local/cuda/include/cusparse.h:470:1: note: declared here 470 | cusparseDestroyBsrsv2Info(bsrsv2Info_t info); | ^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/CUDASparseDescriptors.h: In instantiation of ‘void at::cuda::sparse::CuSparseDescriptorDeleter::operator()(T*) [with T = bsrsm2Info; cusparseStatus_t (* destructor)(T*) = cusparseDestroyBsrsm2Info]’: /usr/include/c++/12/bits/unique_ptr.h:396:17: required from ‘std::unique_ptr<_Tp, _Dp>::~unique_ptr() [with _Tp = bsrsm2Info; _Dp = at::cuda::sparse::CuSparseDescriptorDeleter]’ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/CUDASparseDescriptors.h:27:7: required from here /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/CUDASparseDescriptors.h:21:40: warning: ‘cusparseStatus_t cusparseDestroyBsrsm2Info(bsrsm2Info_t)’ is deprecated: The routine will be removed in the next major release [-Wdeprecated-declarations] 21 | TORCH_CUDASPARSE_CHECK(destructor(x)); | ~~~~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/cuda/Exceptions.h:60:30: note: in definition of macro ‘TORCH_CUDASPARSE_CHECK’ 60 | cusparseStatus_t __err = EXPR; \ | ^~~~ /usr/local/cuda/include/cusparse.h:478:1: note: declared here 478 | cusparseDestroyBsrsm2Info(bsrsm2Info_t info); | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/CompareKernels.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/ComplexKernel.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/ConvolutionMM2d.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/Copy.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/CopysignKernel.cu.o [ 91%] Building CUDA object 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caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/MultinomialKernel.cu.o [ 92%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/NLLLoss2d.cu.o [ 92%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/NaiveConvolutionTranspose2d.cu.o [ 92%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/NaiveConvolutionTranspose3d.cu.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/cuda/LinearAlgebra.cu(129): error: namespace "thrust" has no member "swap" thrust::swap( ^ 1 error detected in the compilation of "/builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/cuda/LinearAlgebra.cu". gmake[2]: *** [caffe2/CMakeFiles/torch_cuda.dir/build.make:2392: caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/LinearAlgebra.cu.o] Error 2 gmake[2]: *** Waiting for unfinished jobs....